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Програмування","\u002Fcsharp\u002Fsystem-programming-windows\u002Fasync-fundamentals","01.csharp\u002F07.system-programming-windows\u002F12.async-fundamentals",{"title":344,"path":345,"stem":346},"SynchronizationContext та ConfigureAwait — Контекст Виконання","\u002Fcsharp\u002Fsystem-programming-windows\u002Fasync-context-configureawait","01.csharp\u002F07.system-programming-windows\u002F13.async-context-configureawait",{"title":348,"path":349,"stem":350},"Async — Просунуті Паттерни","\u002Fcsharp\u002Fsystem-programming-windows\u002Fasync-advanced","01.csharp\u002F07.system-programming-windows\u002F14.async-advanced",{"title":352,"path":353,"stem":354},"System.Threading.Channels — Async Producer-Consumer","\u002Fcsharp\u002Fsystem-programming-windows\u002Fchannels","01.csharp\u002F07.system-programming-windows\u002F15.channels",{"title":356,"path":357,"stem":358},"Асинхронна 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ОС","\u002Fcsharp\u002Fsystem-programming-windows\u002Fwindows-hooks-services","01.csharp\u002F07.system-programming-windows\u002F20.windows-hooks-services",{"title":376,"path":377,"stem":378},"Системне Програмування C# (Windows) — 07.system-programming-windows","\u002Fcsharp\u002Fsystem-programming-windows\u002Fimplementation_plan","01.csharp\u002F07.system-programming-windows\u002Fimplementation_plan",{"title":380,"icon":132,"path":381,"stem":382,"children":383,"page":59},"Io","\u002Fcsharp\u002Fio","01.csharp\u002F08.io",[384,388,392,396,400],{"title":385,"path":386,"stem":387},"8.1.1. Основи роботи з файловою системою","\u002Fcsharp\u002Fio\u002Ffile-system-basics","01.csharp\u002F08.io\u002F01.file-system-basics",{"title":389,"path":390,"stem":391},"8.1.2. Потоки (Streams) та Серіалізація Даних","\u002Fcsharp\u002Fio\u002Fstreams-serialization","01.csharp\u002F08.io\u002F02.streams-serialization",{"title":393,"path":394,"stem":395},"8.2.1. JSON Serialization з System.Text.Json","\u002Fcsharp\u002Fio\u002Fjson-serialization","01.csharp\u002F08.io\u002F03.json-serialization",{"title":397,"path":398,"stem":399},"8.2.2. XML Serialization та LINQ to XML","\u002Fcsharp\u002Fio\u002Fxml-serialization","01.csharp\u002F08.io\u002F04.xml-serialization",{"title":401,"path":402,"stem":403},"8.2.3. Binary Serialization: MessagePack та Protocol Buffers","\u002Fcsharp\u002Fio\u002Fbinary-serialization","01.csharp\u002F08.io\u002F05.binary-serialization",{"title":405,"icon":132,"path":406,"stem":407,"children":408,"page":59},"Ado Net","\u002Fcsharp\u002Fado-net","01.csharp\u002F09.ado-net",[409,413,417,421,425,429,433,437,441,445,449,453],{"title":410,"path":411,"stem":412},"9.1. Введення в ADO.NET","\u002Fcsharp\u002Fado-net\u002Fintroduction-to-adonet","01.csharp\u002F09.ado-net\u002F01.introduction-to-adonet",{"title":414,"path":415,"stem":416},"9.2. Клас DbConnection — з'єднання з базою даних","\u002Fcsharp\u002Fado-net\u002Fconnection","01.csharp\u002F09.ado-net\u002F02.connection",{"title":418,"path":419,"stem":420},"9.3. Клас DbCommand — виконання SQL-запитів","\u002Fcsharp\u002Fado-net\u002Fcommand-and-queries","01.csharp\u002F09.ado-net\u002F03.command-and-queries",{"title":422,"path":423,"stem":424},"9.4. Клас DbDataReader — ефективне читання даних","\u002Fcsharp\u002Fado-net\u002Fdatareader","01.csharp\u002F09.ado-net\u002F04.datareader",{"title":426,"path":427,"stem":428},"9.5. Параметризовані запити та захист від SQL Injection","\u002Fcsharp\u002Fado-net\u002Fparameters-and-sql-injection","01.csharp\u002F09.ado-net\u002F05.parameters-and-sql-injection",{"title":430,"path":431,"stem":432},"9.6. Транзакції в ADO.NET","\u002Fcsharp\u002Fado-net\u002Ftransactions","01.csharp\u002F09.ado-net\u002F06.transactions",{"title":434,"path":435,"stem":436},"9.7. DbProviderFactory — провайдер-незалежний код","\u002Fcsharp\u002Fado-net\u002Fprovider-factory","01.csharp\u002F09.ado-net\u002F07.provider-factory",{"title":438,"path":439,"stem":440},"9.8. Асинхронний доступ до даних","\u002Fcsharp\u002Fado-net\u002Fasync-data-access","01.csharp\u002F09.ado-net\u002F08.async-data-access",{"title":442,"path":443,"stem":444},"9.9. Від'єднаний режим: DataSet, DataTable, DataRow","\u002Fcsharp\u002Fado-net\u002Fdisconnected-mode-dataset","01.csharp\u002F09.ado-net\u002F09.disconnected-mode-dataset",{"title":446,"path":447,"stem":448},"9.10. DataAdapter — міст між DataSet та базою даних","\u002Fcsharp\u002Fado-net\u002Fdata-adapter","01.csharp\u002F09.ado-net\u002F10.data-adapter",{"title":450,"path":451,"stem":452},"9.11. Data Mapper та Repository: Архітектура доступу до даних","\u002Fcsharp\u002Fado-net\u002Fdata-mapper-repository","01.csharp\u002F09.ado-net\u002F11.data-mapper-repository",{"title":454,"path":455,"stem":456},"9.12. Identity Map, Unit of Work та Specification Pattern","\u002Fcsharp\u002Fado-net\u002Fadvanced-patterns","01.csharp\u002F09.ado-net\u002F12.advanced-patterns",{"title":458,"icon":255,"path":459,"stem":460,"children":461,"page":59},"Ef Core","\u002Fcsharp\u002Fef-core","01.csharp\u002F10.ef-core",[462,466,470,474,478,482,486,490,494,498,502,506,510,514,518,522,526,532,538,542,546,550,554,558,562,566,570,574,578,582,586,590,594,598,602,606,610,614,618,622,626,630,634,638,642,646],{"title":463,"path":464,"stem":465},"Що таке ORM? Від SQL до об'єктів","\u002Fcsharp\u002Fef-core\u002Fwhat-is-orm","01.csharp\u002F10.ef-core\u002F01.what-is-orm",{"title":467,"path":468,"stem":469},"Перший проєкт — від нуля до CRUD","\u002Fcsharp\u002Fef-core\u002Ffirst-project","01.csharp\u002F10.ef-core\u002F02.first-project",{"title":471,"path":472,"stem":473},"DbContext — Серце EF Core","\u002Fcsharp\u002Fef-core\u002Fdbcontext-deep-dive","01.csharp\u002F10.ef-core\u002F03.dbcontext-deep-dive",{"title":475,"path":476,"stem":477},"Провайдери баз даних — Архітектура та Вибір СУБД","\u002Fcsharp\u002Fef-core\u002Fdatabase-providers","01.csharp\u002F10.ef-core\u002F04.database-providers",{"title":479,"path":480,"stem":481},"Конвенції EF Core — Магія без конфігурації","\u002Fcsharp\u002Fef-core\u002Fconventions","01.csharp\u002F10.ef-core\u002F05.conventions",{"title":483,"path":484,"stem":485},"Fluent API та Data Annotations — Явна конфігурація моделі","\u002Fcsharp\u002Fef-core\u002Ffluent-api-vs-annotations","01.csharp\u002F10.ef-core\u002F06.fluent-api-vs-annotations",{"title":487,"path":488,"stem":489},"Зв'язки — One-to-One та One-to-Many","\u002Fcsharp\u002Fef-core\u002Frelationships-basics","01.csharp\u002F10.ef-core\u002F07.relationships-basics",{"title":491,"path":492,"stem":493},"Зв'язки Advanced — Many-to-Many та Складні Сценарії","\u002Fcsharp\u002Fef-core\u002Frelationships-advanced","01.csharp\u002F10.ef-core\u002F08.relationships-advanced",{"title":495,"path":496,"stem":497},"Властивості — Типи, Конвертери, Компаратори (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fproperty-configuration-part1","01.csharp\u002F10.ef-core\u002F09.property-configuration-part1",{"title":499,"path":500,"stem":501},"Властивості — Value Comparers, Generators, Shadow Properties (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fproperty-configuration-part2","01.csharp\u002F10.ef-core\u002F09.property-configuration-part2",{"title":503,"path":504,"stem":505},"Складні типи — Owned Types та Complex Types (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fcomplex-types-owned-part1","01.csharp\u002F10.ef-core\u002F10.complex-types-owned-part1",{"title":507,"path":508,"stem":509},"Складні типи — Complex Types, Keyless Entities, Порівняння (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fcomplex-types-owned-part2","01.csharp\u002F10.ef-core\u002F10.complex-types-owned-part2",{"title":511,"path":512,"stem":513},"JSON Columns — Складні дані у JSON (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fjson-columns-part1","01.csharp\u002F10.ef-core\u002F11.json-columns-part1",{"title":515,"path":516,"stem":517},"JSON Columns — Value Comparers, Індекси, Провайдери (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fjson-columns-part2","01.csharp\u002F10.ef-core\u002F11.json-columns-part2",{"title":519,"path":520,"stem":521},"Успадкування — Абстрактні класи та TPH (Частина 1)","\u002Fcsharp\u002Fef-core\u002Finheritance-part1","01.csharp\u002F10.ef-core\u002F12.inheritance-part1",{"title":523,"path":524,"stem":525},"Успадкування — TPT, TPC та Порівняння Стратегій (Частина 2)","\u002Fcsharp\u002Fef-core\u002Finheritance-part2","01.csharp\u002F10.ef-core\u002F12.inheritance-part2",{"title":527,"path":528,"stem":529,"children":530},"Індекси, Обмеження та Схема (Частина 1)","\u002Fcsharp\u002Fef-core\u002Findexes-constraints-part1","01.csharp\u002F10.ef-core\u002F13.indexes-constraints-part1",[531],{"title":527,"path":528,"stem":529},{"title":533,"path":534,"stem":535,"children":536},"Індекси, Обмеження та Схема (Частина 2)","\u002Fcsharp\u002Fef-core\u002Findexes-constraints-part2","01.csharp\u002F10.ef-core\u002F13.indexes-constraints-part2",[537],{"title":533,"path":534,"stem":535},{"title":539,"path":540,"stem":541},"Seed Data — Початкові Дані (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fseeding-part1","01.csharp\u002F10.ef-core\u002F14.seeding-part1",{"title":543,"path":544,"stem":545},"Seed Data — SQL-скрипти, Bogus та Стратегії (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fseeding-part2","01.csharp\u002F10.ef-core\u002F14.seeding-part2",{"title":547,"path":548,"stem":549},"Global Query Filters — Глобальні Фільтри (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fglobal-query-filters-part1","01.csharp\u002F10.ef-core\u002F15.global-query-filters-part1",{"title":551,"path":552,"stem":553},"Global Query Filters — Підводні камені та Інтеграція (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fglobal-query-filters-part2","01.csharp\u002F10.ef-core\u002F15.global-query-filters-part2",{"title":555,"path":556,"stem":557},"LINQ-запити в EF Core (Частина 1)","\u002Fcsharp\u002Fef-core\u002Flinq-queries-part1","01.csharp\u002F10.ef-core\u002F16.linq-queries-part1",{"title":559,"path":560,"stem":561},"LINQ-запити в EF Core (Частина 2)","\u002Fcsharp\u002Fef-core\u002Flinq-queries-part2","01.csharp\u002F10.ef-core\u002F16.linq-queries-part2",{"title":563,"path":564,"stem":565},"Завантаження Пов'язаних Даних (Частина 1)","\u002Fcsharp\u002Fef-core\u002Floading-related-data-part1","01.csharp\u002F10.ef-core\u002F17.loading-related-data-part1",{"title":567,"path":568,"stem":569},"Завантаження Пов'язаних Даних (Частина 2)","\u002Fcsharp\u002Fef-core\u002Floading-related-data-part2","01.csharp\u002F10.ef-core\u002F17.loading-related-data-part2",{"title":571,"path":572,"stem":573},"Raw SQL, Views та Stored Procedures (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fraw-sql-part1","01.csharp\u002F10.ef-core\u002F18.raw-sql-part1",{"title":575,"path":576,"stem":577},"Raw SQL — Stored Procedures, DbFunction та Bulk Operations (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fraw-sql-part2","01.csharp\u002F10.ef-core\u002F18.raw-sql-part2",{"title":579,"path":580,"stem":581},"Продвинуті Запити — Compiled Queries, Bulk та Оптимізація (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fadvanced-queries-part1","01.csharp\u002F10.ef-core\u002F19.advanced-queries-part1",{"title":583,"path":584,"stem":585},"Продвинуті Запити — Query Tags, Bulk та Interceptors (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fadvanced-queries-part2","01.csharp\u002F10.ef-core\u002F19.advanced-queries-part2",{"title":587,"path":588,"stem":589},"Change Tracker — Відстеження Змін (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fchange-tracking-part1","01.csharp\u002F10.ef-core\u002F20.change-tracking-part1",{"title":591,"path":592,"stem":593},"Change Tracker — Графи Об'єктів та Disconnected (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fchange-tracking-part2","01.csharp\u002F10.ef-core\u002F20.change-tracking-part2",{"title":595,"path":596,"stem":597},"Збереження Даних та Транзакції (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fsaving-data-part1","01.csharp\u002F10.ef-core\u002F21.saving-data-part1",{"title":599,"path":600,"stem":601},"Збереження Даних — Concurrency та Outbox (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fsaving-data-part2","01.csharp\u002F10.ef-core\u002F21.saving-data-part2",{"title":603,"path":604,"stem":605},"Конкурентність та Блокування (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fconcurrency-part1","01.csharp\u002F10.ef-core\u002F22.concurrency-part1",{"title":607,"path":608,"stem":609},"Конкурентність — Дедлоки та Queue Processing (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fconcurrency-part2","01.csharp\u002F10.ef-core\u002F22.concurrency-part2",{"title":611,"path":612,"stem":613},"Міграції в EF Core — Основи (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fmigrations-basics-part1","01.csharp\u002F10.ef-core\u002F23.migrations-basics-part1",{"title":615,"path":616,"stem":617},"Міграції в EF Core — Основи (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fmigrations-basics-part2","01.csharp\u002F10.ef-core\u002F23.migrations-basics-part2",{"title":619,"path":620,"stem":621},"Міграції — Просунуті Сценарії (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fmigrations-advanced-part1","01.csharp\u002F10.ef-core\u002F24.migrations-advanced-part1",{"title":623,"path":624,"stem":625},"Міграції — Просунуті Сценарії (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fmigrations-advanced-part2","01.csharp\u002F10.ef-core\u002F24.migrations-advanced-part2",{"title":627,"path":628,"stem":629},"Управління Схемою та Database-First (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fschema-management-part1","01.csharp\u002F10.ef-core\u002F25.schema-management-part1",{"title":631,"path":632,"stem":633},"Управління Схемою та Database-First (Частина 2)","\u002Fcsharp\u002Fef-core\u002Fschema-management-part2","01.csharp\u002F10.ef-core\u002F25.schema-management-part2",{"title":635,"path":636,"stem":637},"Продуктивність EF Core — Основи (Частина 1)","\u002Fcsharp\u002Fef-core\u002Fperformance-fundamentals-part1","01.csharp\u002F10.ef-core\u002F26.performance-fundamentals-part1",{"title":639,"path":640,"stem":641},"Interceptors в EF Core (Частина 1)","\u002Fcsharp\u002Fef-core\u002Finterceptors-part1","01.csharp\u002F10.ef-core\u002F29.interceptors-part1",{"title":643,"path":644,"stem":645},"Interceptors в EF Core — Connection, Transaction та Materialization (Частина 2)","\u002Fcsharp\u002Fef-core\u002Finterceptors-part2","01.csharp\u002F10.ef-core\u002F29.interceptors-part2",{"title":647,"path":648,"stem":649},"План вивчення Entity Framework Core — Повний курс","\u002Fcsharp\u002Fef-core\u002Fimplementation_plan","01.csharp\u002F10.ef-core\u002Fimplementation_plan",{"title":651,"icon":652,"path":653,"stem":654,"children":655,"page":59},"ASP.NET","i-devicon-dotnetcore","\u002Fcsharp\u002Faspnet","01.csharp\u002F11.aspnet",[656,730,791,869,927,941,967,1057,1111,1182,1212,1289,1346],{"title":657,"icon":658,"path":659,"stem":660,"children":661,"page":59},"Minimal API","i-lucide-network","\u002Fcsharp\u002Faspnet\u002Fminimal-api","01.csharp\u002F11.aspnet\u002F01.minimal-api",[662,666,670,674,678,682,686,690,694,698,702,706,710,714,718,722,726],{"title":663,"path":664,"stem":665},"Вступ до ASP.NET та еволюція фреймворку","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Fintroduction","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F01.introduction",{"title":667,"path":668,"stem":669},"Перший додаток на ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Ffirst-application","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F02.first-application",{"title":671,"path":672,"stem":673},"WebApplication, Builder та Dependency Injection","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Fwebapplication-builder","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F03.webapplication-builder",{"title":675,"path":676,"stem":677},"Конвеєр запитів та Middleware","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Frequest-pipeline-middleware","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F04.request-pipeline-middleware",{"title":679,"path":680,"stem":681},"Маршрутизація в ASP.NET Core: Основи","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Frouting-basics","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F05.routing-basics",{"title":683,"path":684,"stem":685},"Маршрутизація в ASP.NET Core: Розширені можливості","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Frouting-advanced","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F06.routing-advanced",{"title":687,"path":688,"stem":689},"Статичні файли в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Fstatic-files","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F07.static-files",{"title":691,"path":692,"stem":693},"Статичні Активи: MapStaticAssets (ASP.NET Core 9.0)","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Fstatic-assets","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F08.static-assets",{"title":695,"path":696,"stem":697},"Конфігурація в ASP.NET Core: Основи","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Fconfiguration-fundamentals","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F09.configuration-fundamentals",{"title":699,"path":700,"stem":701},"Конфігурація: Паттерн Options","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Fconfiguration-options","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F10.configuration-options",{"title":703,"path":704,"stem":705},"Логування в ASP.NET Core: Основи","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Flogging-basics","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F11.logging-basics",{"title":707,"path":708,"stem":709},"Логування: Serilog та Middleware","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Flogging-advanced","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F12.logging-advanced",{"title":711,"path":712,"stem":713},"Управління станом: HttpContext.Items та Cookies","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Fstate-management","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F13.state-management",{"title":715,"path":716,"stem":717},"Стан сесії: Sessions","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Fsession-state","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F14.session-state",{"title":719,"path":720,"stem":721},"Структура проєкту: від хаосу до архітектури","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Fproject-structure","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F15.project-structure",{"title":723,"path":724,"stem":725},"Scalar у Minimal API: повний проєкт і Fluent OpenAPI","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Fscalar-openapi-fluent","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F16.scalar-openapi-fluent",{"title":727,"path":728,"stem":729},"Swagger \u002F Swashbuckle у Minimal API: окремий класичний шлях","\u002Fcsharp\u002Faspnet\u002Fminimal-api\u002Fswagger-swashbuckle","01.csharp\u002F11.aspnet\u002F01.minimal-api\u002F17.swagger-swashbuckle",{"title":731,"icon":658,"path":732,"stem":733,"children":734,"page":59},"API","\u002Fcsharp\u002Faspnet\u002Fapi","01.csharp\u002F11.aspnet\u002F02.api",[735,739,743,747,751,755,759,763,767,771,775,779,783,787],{"title":736,"path":737,"stem":738},"Що таке API. Клієнт-серверна архітектура","\u002Fcsharp\u002Faspnet\u002Fapi\u002Fwhat-is-api","01.csharp\u002F11.aspnet\u002F02.api\u002F01.what-is-api",{"title":740,"path":741,"stem":742},"Формати даних: JSON, XML, TOML та бінарні формати","\u002Fcsharp\u002Faspnet\u002Fapi\u002Fdata-formats","01.csharp\u002F11.aspnet\u002F02.api\u002F02.data-formats",{"title":744,"path":745,"stem":746},"Парадигми API та концепція REST","\u002Fcsharp\u002Faspnet\u002Fapi\u002Fapi-paradigms-rest","01.csharp\u002F11.aspnet\u002F02.api\u002F03.api-paradigms-rest",{"title":748,"path":749,"stem":750},"HTTP-методи, статус-коди та заголовки","\u002Fcsharp\u002Faspnet\u002Fapi\u002Fhttp-methods-status-codes","01.csharp\u002F11.aspnet\u002F02.api\u002F04.http-methods-status-codes",{"title":752,"path":753,"stem":754},"Організація HTTP API за принципами REST","\u002Fcsharp\u002Faspnet\u002Fapi\u002Frest-organizing","01.csharp\u002F11.aspnet\u002F02.api\u002F05.rest-organizing",{"title":756,"path":757,"stem":758},"Номенклатура URL та CRUD-операції","\u002Fcsharp\u002Faspnet\u002Fapi\u002Furl-nomenclature-crud","01.csharp\u002F11.aspnet\u002F02.api\u002F06.url-nomenclature-crud",{"title":760,"path":761,"stem":762},"Правила дизайну: іменування та стандарти","\u002Fcsharp\u002Faspnet\u002Fapi\u002Fapi-design-naming","01.csharp\u002F11.aspnet\u002F02.api\u002F07.api-design-naming",{"title":764,"path":765,"stem":766},"Валідація, ліміти та обробка помилок","\u002Fcsharp\u002Faspnet\u002Fapi\u002Fapi-design-validation","01.csharp\u002F11.aspnet\u002F02.api\u002F08.api-design-validation",{"title":768,"path":769,"stem":770},"Обробка помилок у Minimal API","\u002Fcsharp\u002Faspnet\u002Fapi\u002Ferror-handling-http","01.csharp\u002F11.aspnet\u002F02.api\u002F09.error-handling-http",{"title":772,"path":773,"stem":774},"Ідемпотентність та синхронізація стану","\u002Fcsharp\u002Faspnet\u002Fapi\u002Fidempotency-sync","01.csharp\u002F11.aspnet\u002F02.api\u002F10.idempotency-sync",{"title":776,"path":777,"stem":778},"Пагінація та організація списків","\u002Fcsharp\u002Faspnet\u002Fapi\u002Fpagination-lists","01.csharp\u002F11.aspnet\u002F02.api\u002F11.pagination-lists",{"title":780,"path":781,"stem":782},"Безпека API, кешування та інтернаціоналізація","\u002Fcsharp\u002Faspnet\u002Fapi\u002Fsecurity-auth","01.csharp\u002F11.aspnet\u002F02.api\u002F12.security-auth",{"title":784,"path":785,"stem":786},"Процес проєктування API та документування","\u002Fcsharp\u002Faspnet\u002Fapi\u002Fapi-design-process","01.csharp\u002F11.aspnet\u002F02.api\u002F13.api-design-process",{"title":788,"path":789,"stem":790},"OpenAPI: контракт, специфікація та документація API","\u002Fcsharp\u002Faspnet\u002Fapi\u002Fopenapi","01.csharp\u002F11.aspnet\u002F02.api\u002F14.openapi",{"title":792,"icon":793,"path":794,"stem":795,"children":796,"page":59},"Auth","i-lucide-shield-check","\u002Fcsharp\u002Faspnet\u002Fauth","01.csharp\u002F11.aspnet\u002F03.auth",[797,801,805,809,813,817,821,825,829,833,837,841,845,849,853,857,861,865],{"title":798,"path":799,"stem":800},"Основи аутентифікації та авторизації","\u002Fcsharp\u002Faspnet\u002Fauth\u002Fauth-fundamentals","01.csharp\u002F11.aspnet\u002F03.auth\u002F01.auth-fundamentals",{"title":802,"path":803,"stem":804},"JWT-аутентифікація","\u002Fcsharp\u002Faspnet\u002Fauth\u002Fjwt-authentication","01.csharp\u002F11.aspnet\u002F03.auth\u002F02.jwt-authentication",{"title":806,"path":807,"stem":808},"Авторизація: ролі, політики та resource-based доступ","\u002Fcsharp\u002Faspnet\u002Fauth\u002Fauthorization-policies","01.csharp\u002F11.aspnet\u002F03.auth\u002F03.authorization-policies",{"title":810,"path":811,"stem":812},"Cookie-аутентифікація та ASP.NET Core Identity","\u002Fcsharp\u002Faspnet\u002Fauth\u002Fcookie-auth-identity","01.csharp\u002F11.aspnet\u002F03.auth\u002F04.cookie-auth-identity",{"title":814,"path":815,"stem":816},"JWT + Refresh Tokens (HttpOnly Cookie)","\u002Fcsharp\u002Faspnet\u002Fauth\u002F04b.identity-auth-jwt","01.csharp\u002F11.aspnet\u002F03.auth\u002F04b.identity-auth-jwt",{"title":818,"path":819,"stem":820},"Identity: Підтвердження Email та Скидання Пароля","\u002Fcsharp\u002Faspnet\u002Fauth\u002Fidentity-email-confirmation","01.csharp\u002F11.aspnet\u002F03.auth\u002F05.identity-email-confirmation",{"title":822,"path":823,"stem":824},"Identity: Двофакторна Аутентифікація (2FA)","\u002Fcsharp\u002Faspnet\u002Fauth\u002Fidentity-two-factor","01.csharp\u002F11.aspnet\u002F03.auth\u002F06.identity-two-factor",{"title":826,"path":827,"stem":828},"Identity: Внутрішня Архітектура та Кастомізація","\u002Fcsharp\u002Faspnet\u002Fauth\u002Fidentity-internals","01.csharp\u002F11.aspnet\u002F03.auth\u002F07.identity-internals",{"title":830,"path":831,"stem":832},"OAuth 2.0 та зовнішні провайдери","\u002Fcsharp\u002Faspnet\u002Fauth\u002Foauth-external-providers","01.csharp\u002F11.aspnet\u002F03.auth\u002F08.oauth-external-providers",{"title":834,"path":835,"stem":836},"Безпека на практиці: CORS, HTTPS та захист від атак","\u002Fcsharp\u002Faspnet\u002Fauth\u002Fsecurity-hardening","01.csharp\u002F11.aspnet\u002F03.auth\u002F09.security-hardening",{"title":838,"path":839,"stem":840},"Теорія OAuth 2.0: Поняття, Аналогії та Флоу","\u002Fcsharp\u002Faspnet\u002Fauth\u002Foauth-theory","01.csharp\u002F11.aspnet\u002F03.auth\u002F10.oauth-theory",{"title":842,"path":843,"stem":844},"OIDC, OAuth 2.0 та Keycloak в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Fauth\u002Foidc-keycloak","01.csharp\u002F11.aspnet\u002F03.auth\u002F10.oidc-keycloak",{"title":846,"path":847,"stem":848},"API Keys аутентифікація в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Fauth\u002Fapi-keys","01.csharp\u002F11.aspnet\u002F03.auth\u002F11.api-keys",{"title":850,"path":851,"stem":852},"Rate Limiting та Throttling в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Fauth\u002Frate-limiting","01.csharp\u002F11.aspnet\u002F03.auth\u002F12.rate-limiting",{"title":854,"path":855,"stem":856},"Refresh Token Rotation в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Fauth\u002Frefresh-token-rotation","01.csharp\u002F11.aspnet\u002F03.auth\u002F13.refresh-token-rotation",{"title":858,"path":859,"stem":860},"Certificate Authentication та mTLS в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Fauth\u002Fcertificate-auth","01.csharp\u002F11.aspnet\u002F03.auth\u002F14.certificate-auth",{"title":862,"path":863,"stem":864},"RBAC, ABAC та ReBAC в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Fauth\u002Frbac-abac-rebac","01.csharp\u002F11.aspnet\u002F03.auth\u002F15.rbac-abac-rebac",{"title":866,"path":867,"stem":868},"Multi-tenancy та ізоляція даних в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Fauth\u002Fmulti-tenancy","01.csharp\u002F11.aspnet\u002F03.auth\u002F16.multi-tenancy",{"title":870,"icon":871,"path":872,"stem":873,"children":874,"page":59},"Нотифікації","i-lucide-bell","\u002Fcsharp\u002Faspnet\u002Fnotifications","01.csharp\u002F11.aspnet\u002F04.notifications",[875,879,883,887,891,895,899,903,907,911,915,919,923],{"title":876,"path":877,"stem":878},"In-App нотифікації через базу даних","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Fin-app-database-notifications","01.csharp\u002F11.aspnet\u002F04.notifications\u002F01.in-app-database-notifications",{"title":880,"path":881,"stem":882},"Polling: Регулярний запит оновлень","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Fpolling","01.csharp\u002F11.aspnet\u002F04.notifications\u002F02.polling",{"title":884,"path":885,"stem":886},"Server-Sent Events: Однострімовий push від сервера","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Fserver-sent-events","01.csharp\u002F11.aspnet\u002F04.notifications\u002F03.server-sent-events",{"title":888,"path":889,"stem":890},"WebSockets: Двостороннє з'єднання в реальному часі","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Fwebsockets","01.csharp\u002F11.aspnet\u002F04.notifications\u002F04.websockets",{"title":892,"path":893,"stem":894},"SignalR: Абстракція над транспортами реального часу","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Fsignalr","01.csharp\u002F11.aspnet\u002F04.notifications\u002F05.signalr",{"title":896,"path":897,"stem":898},"Background Services: Фонові задачі в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Fbackground-services","01.csharp\u002F11.aspnet\u002F04.notifications\u002F06.background-services",{"title":900,"path":901,"stem":902},"Web Push нотифікації","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Fweb-push","01.csharp\u002F11.aspnet\u002F04.notifications\u002F07.web-push",{"title":904,"path":905,"stem":906},"Email нотифікації","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Femail-notifications","01.csharp\u002F11.aspnet\u002F04.notifications\u002F08.email-notifications",{"title":908,"path":909,"stem":910},"Порівняння підходів: Як вибрати правильну технологію нотифікацій","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Fchoosing-the-right-approach","01.csharp\u002F11.aspnet\u002F04.notifications\u002F09.choosing-the-right-approach",{"title":912,"path":913,"stem":914},"Hangfire: Надійне планування фонових задач","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Fhangfire","01.csharp\u002F11.aspnet\u002F04.notifications\u002F10.hangfire",{"title":916,"path":917,"stem":918},"Практика: Конвертація зображень у WebP через Hangfire","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Fhangfire-image-webp","01.csharp\u002F11.aspnet\u002F04.notifications\u002F11.hangfire-image-webp",{"title":920,"path":921,"stem":922},"Практика: Підготовка відео до HLS-стрімінгу через Hangfire","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Fhangfire-video-hls","01.csharp\u002F11.aspnet\u002F04.notifications\u002F12.hangfire-video-hls",{"title":924,"path":925,"stem":926},"Telegram-нотифікації: від одного повідомлення до масових розсилок і мульти-канального підходу","\u002Fcsharp\u002Faspnet\u002Fnotifications\u002Ftelegram-notifications","01.csharp\u002F11.aspnet\u002F04.notifications\u002F13.telegram-notifications",{"title":928,"icon":929,"path":930,"stem":931,"children":932,"page":59},"Інтернаціоналізація","i-lucide-languages","\u002Fcsharp\u002Faspnet\u002Fi18n","01.csharp\u002F11.aspnet\u002F05.i18n",[933,937],{"title":934,"path":935,"stem":936},"Інтернаціоналізація (i18n) у Minimal API: від A до Я","\u002Fcsharp\u002Faspnet\u002Fi18n\u002Finternationalization","01.csharp\u002F11.aspnet\u002F05.i18n\u002F01.internationalization",{"title":938,"path":939,"stem":940},"Humanizer: людиномовні рядки у .NET","\u002Fcsharp\u002Faspnet\u002Fi18n\u002Fhumanizer","01.csharp\u002F11.aspnet\u002F05.i18n\u002F02.humanizer",{"title":942,"icon":943,"path":944,"stem":945,"children":946,"page":59},"Кешування","i-lucide-layers","\u002Fcsharp\u002Faspnet\u002Fcaching","01.csharp\u002F11.aspnet\u002F06.caching",[947,951,955,959,963],{"title":948,"path":949,"stem":950},"Огляд кешування: чотири рівні і коли що обирати","\u002Fcsharp\u002Faspnet\u002Fcaching\u002Fcaching","01.csharp\u002F11.aspnet\u002F06.caching\u002F01.caching",{"title":952,"path":953,"stem":954},"IMemoryCache: кеш в оперативній пам'яті","\u002Fcsharp\u002Faspnet\u002Fcaching\u002Fmemory-cache","01.csharp\u002F11.aspnet\u002F06.caching\u002F02.memory-cache",{"title":956,"path":957,"stem":958},"IDistributedCache і Redis: розподілений кеш","\u002Fcsharp\u002Faspnet\u002Fcaching\u002Fdistributed-cache","01.csharp\u002F11.aspnet\u002F06.caching\u002F03.distributed-cache",{"title":960,"path":961,"stem":962},"Response Cache: HTTP-кешування через Cache-Control","\u002Fcsharp\u002Faspnet\u002Fcaching\u002Fresponse-cache","01.csharp\u002F11.aspnet\u002F06.caching\u002F04.response-cache",{"title":964,"path":965,"stem":966},"Output Cache: серверний кеш HTTP-відповідей (.NET 7+)","\u002Fcsharp\u002Faspnet\u002Fcaching\u002Foutput-cache","01.csharp\u002F11.aspnet\u002F06.caching\u002F05.output-cache",{"title":968,"icon":969,"path":970,"stem":971,"children":972,"page":59},"Тестування","i-lucide-test-tube","\u002Fcsharp\u002Faspnet\u002Ftesting","01.csharp\u002F11.aspnet\u002F07.testing",[973,977,981,985,989,993,997,1001,1005,1009,1013,1017,1021,1025,1029,1033,1037,1041,1045,1049,1053],{"title":974,"path":975,"stem":976},"Що таке тестування? Від інтуїції до науки","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fwhat-is-testing","01.csharp\u002F11.aspnet\u002F07.testing\u002F01.what-is-testing",{"title":978,"path":979,"stem":980},"Піраміда тестування — Стратегія, а не Догма","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Ftesting-pyramid","01.csharp\u002F11.aspnet\u002F07.testing\u002F02.testing-pyramid",{"title":982,"path":983,"stem":984},"Дві Школи Тестування — Лондон проти Детройту","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Ftesting-schools","01.csharp\u002F11.aspnet\u002F07.testing\u002F03.testing-schools",{"title":986,"path":987,"stem":988},"TDD та BDD — Тести як Дизайн-інструмент","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Ftdd-and-bdd","01.csharp\u002F11.aspnet\u002F07.testing\u002F04.tdd-and-bdd",{"title":990,"path":991,"stem":992},"Що саме тестувати — Техніки аналізу та Циклomatична складність","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fwhat-to-test","01.csharp\u002F11.aspnet\u002F07.testing\u002F05.what-to-test",{"title":994,"path":995,"stem":996},"Тестові Фреймворки — Навіщо вони і що всередині","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Ftest-frameworks","01.csharp\u002F11.aspnet\u002F07.testing\u002F06.test-frameworks",{"title":998,"path":999,"stem":1000},"xUnit — Факти, Теорії та Lifecycle тестів","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fxunit-basics","01.csharp\u002F11.aspnet\u002F07.testing\u002F07.xunit-basics",{"title":1002,"path":1003,"stem":1004},"xUnit Advanced — Fixtures, Кастомізація та Розширення","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fxunit-advanced","01.csharp\u002F11.aspnet\u002F07.testing\u002F08.xunit-advanced",{"title":1006,"path":1007,"stem":1008},"Moq — Глибоке занурення в мокування","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fmocking-with-moq","01.csharp\u002F11.aspnet\u002F07.testing\u002F09.mocking-with-moq",{"title":1010,"path":1011,"stem":1012},"Тестування Баз Даних — EF Core, SQLite та Testcontainers","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fdatabase-testing","01.csharp\u002F11.aspnet\u002F07.testing\u002F10.database-testing",{"title":1014,"path":1015,"stem":1016},"Integration Testing — Частина 1 [Теорія та WebApplicationFactory]","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fintegration-testing","01.csharp\u002F11.aspnet\u002F07.testing\u002F11.integration-testing",{"title":1018,"path":1019,"stem":1020},"Інтеграційне тестування — Практика","\u002Fcsharp\u002Faspnet\u002Ftesting\u002F11a.integration-testing-practice","01.csharp\u002F11.aspnet\u002F07.testing\u002F11a.integration-testing-practice",{"title":1022,"path":1023,"stem":1024},"Integration Testing — Частина 2 [Просунуті Сценарії та Testcontainers]","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fintegration-testing-advanced","01.csharp\u002F11.aspnet\u002F07.testing\u002F12.integration-testing-advanced",{"title":1026,"path":1027,"stem":1028},"Професійний Postman: Колекції, Змінні та GitHub Інтеграція","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fpostman-professional","01.csharp\u002F11.aspnet\u002F07.testing\u002F13.postman-professional",{"title":1030,"path":1031,"stem":1032},"HttpClient у Тестах Частина 1: Архітектура та MockHttpMessageHandler","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fhttpclient-testing","01.csharp\u002F11.aspnet\u002F07.testing\u002F14.httpclient-testing",{"title":1034,"path":1035,"stem":1036},"HttpClient у Тестах Частина 2: WireMock.Net та Resilience","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fwiremock-net","01.csharp\u002F11.aspnet\u002F07.testing\u002F15.wiremock-net",{"title":1038,"path":1039,"stem":1040},"Патерни та Анти-патерни Тестування: Test Smells","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Ftesting-patterns","01.csharp\u002F11.aspnet\u002F07.testing\u002F16.testing-patterns",{"title":1042,"path":1043,"stem":1044},"Просунуті інструменти: Time, Snapshots та Властивості","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fadvanced-testing-tools","01.csharp\u002F11.aspnet\u002F07.testing\u002F17.advanced-testing-tools",{"title":1046,"path":1047,"stem":1048},"Тестування Архітектури з NetArchTest","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Farchitecture-testing","01.csharp\u002F11.aspnet\u002F07.testing\u002F18.architecture-testing",{"title":1050,"path":1051,"stem":1052},"Тестування Продуктивності: BenchmarkDotNet, NBomber та k6","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fperformance-testing","01.csharp\u002F11.aspnet\u002F07.testing\u002F19.performance-testing",{"title":1054,"path":1055,"stem":1056},"Залишок плану для курсу \"Тестування ASP.NET Minimal API\"","\u002Fcsharp\u002Faspnet\u002Ftesting\u002Fremaining_plan","01.csharp\u002F11.aspnet\u002F07.testing\u002Fremaining_plan",{"title":1058,"icon":1059,"path":1060,"stem":1061,"children":1062,"page":59},"Платежі","i-lucide-credit-card","\u002Fcsharp\u002Faspnet\u002Fpayments","01.csharp\u002F11.aspnet\u002F08.payments",[1063,1067,1071,1075,1079,1083,1087,1091,1095,1099,1103,1107],{"title":1064,"path":1065,"stem":1066},"Основи платіжної інфраструктури","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Fpayment-fundamentals","01.csharp\u002F11.aspnet\u002F08.payments\u002F01.payment-fundamentals",{"title":1068,"path":1069,"stem":1070},"Методи оплати в Україні","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Fpayment-methods-ukraine","01.csharp\u002F11.aspnet\u002F08.payments\u002F02.payment-methods-ukraine",{"title":1072,"path":1073,"stem":1074},"PCI DSS та безпека платежів","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Fpci-dss-security","01.csharp\u002F11.aspnet\u002F08.payments\u002F03.pci-dss-security",{"title":1076,"path":1077,"stem":1078},"Архітектура платіжної підсистеми","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Fpayment-architecture","01.csharp\u002F11.aspnet\u002F08.payments\u002F04.payment-architecture",{"title":1080,"path":1081,"stem":1082},"Інтеграція LiqPay (ПриватБанк)","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Fliqpay-integration","01.csharp\u002F11.aspnet\u002F08.payments\u002F05.liqpay-integration",{"title":1084,"path":1085,"stem":1086},"Інтеграція Monobank Acquiring API","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Fmonobank-acquiring","01.csharp\u002F11.aspnet\u002F08.payments\u002F06.monobank-acquiring",{"title":1088,"path":1089,"stem":1090},"Інтеграція Stripe","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Fstripe-integration","01.csharp\u002F11.aspnet\u002F08.payments\u002F07.stripe-integration",{"title":1092,"path":1093,"stem":1094},"Webhooks — глибоке занурення","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Fwebhooks-deep-dive","01.csharp\u002F11.aspnet\u002F08.payments\u002F08.webhooks-deep-dive",{"title":1096,"path":1097,"stem":1098},"Підписки та рекурентні платежі","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Fsubscriptions-recurring","01.csharp\u002F11.aspnet\u002F08.payments\u002F09.subscriptions-recurring",{"title":1100,"path":1101,"stem":1102},"Повернення коштів та диспути","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Frefunds-disputes","01.csharp\u002F11.aspnet\u002F08.payments\u002F10.refunds-disputes",{"title":1104,"path":1105,"stem":1106},"Тестування платіжних інтеграцій","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Ftesting-payments","01.csharp\u002F11.aspnet\u002F08.payments\u002F11.testing-payments",{"title":1108,"path":1109,"stem":1110},"Чекліст виходу в Production","\u002Fcsharp\u002Faspnet\u002Fpayments\u002Fproduction-checklist","01.csharp\u002F11.aspnet\u002F08.payments\u002F12.production-checklist",{"title":1112,"icon":1113,"items":1114,"path":1127,"stem":1128,"children":1129,"page":59},"Популярні бібліотеки","lucide:box",[1115,1116,1117,1118,1119,1120,1121,1122,1123,1124,1125,1126],"01.fluent-validation","02.mapster","03.erroror-result-pattern","04.serilog","05.mediatr","06.polly","07.health-checks","08.feature-management","09.fluent-email","10.quest-pdf","11.bogus","12.humanizer-guard","\u002Fcsharp\u002Faspnet\u002Flibraries","01.csharp\u002F11.aspnet\u002F09.libraries",[1130,1134,1138,1142,1146,1150,1154,1158,1162,1166,1170,1174,1178],{"title":1131,"path":1132,"stem":1133},"Валідація з FluentValidation в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Ffluent-validation","01.csharp\u002F11.aspnet\u002F09.libraries\u002F01.fluent-validation",{"title":1135,"path":1136,"stem":1137},"Маппінг об","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Fmapster","01.csharp\u002F11.aspnet\u002F09.libraries\u002F02.mapster",{"title":1139,"path":1140,"stem":1141},"Обробка помилок з ErrorOr та Result Pattern в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Ferroror-result-pattern","01.csharp\u002F11.aspnet\u002F09.libraries\u002F03.erroror-result-pattern",{"title":1143,"path":1144,"stem":1145},"Структуроване логування з Serilog в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Fserilog","01.csharp\u002F11.aspnet\u002F09.libraries\u002F04.serilog",{"title":1147,"path":1148,"stem":1149},"CQRS та Mediator з MediatR в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Fmediatr","01.csharp\u002F11.aspnet\u002F09.libraries\u002F05.mediatr",{"title":1151,"path":1152,"stem":1153},"Відмовостійкість з Polly в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Fpolly","01.csharp\u002F11.aspnet\u002F09.libraries\u002F06.polly",{"title":1155,"path":1156,"stem":1157},"Health Checks в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Fhealth-checks","01.csharp\u002F11.aspnet\u002F09.libraries\u002F07.health-checks",{"title":1159,"path":1160,"stem":1161},"Feature Management та Feature Flags в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Ffeature-management","01.csharp\u002F11.aspnet\u002F09.libraries\u002F08.feature-management",{"title":1163,"path":1164,"stem":1165},"Відправка Email з FluentEmail в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Ffluent-email","01.csharp\u002F11.aspnet\u002F09.libraries\u002F09.fluent-email",{"title":1167,"path":1168,"stem":1169},"Генерація PDF з QuestPDF в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Fquest-pdf","01.csharp\u002F11.aspnet\u002F09.libraries\u002F10.quest-pdf",{"title":1171,"path":1172,"stem":1173},"Генерація тестових даних з Bogus в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Fbogus","01.csharp\u002F11.aspnet\u002F09.libraries\u002F11.bogus",{"title":1175,"path":1176,"stem":1177},"Humanizer та Guard Clauses в ASP.NET Core","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Fhumanizer-guard","01.csharp\u002F11.aspnet\u002F09.libraries\u002F12.humanizer-guard",{"title":1179,"path":1180,"stem":1181},"План модуля 10.libraries — Популярні бібліотеки ASP.NET","\u002Fcsharp\u002Faspnet\u002Flibraries\u002Fplan","01.csharp\u002F11.aspnet\u002F09.libraries\u002Fplan",{"title":1183,"icon":1184,"path":1185,"stem":1186,"children":1187,"page":59},"Razor Pages","i-lucide-layout-template","\u002Fcsharp\u002Faspnet\u002Frazor-pages","01.csharp\u002F11.aspnet\u002F10.razor-pages",[1188,1192,1196,1200,1204,1208],{"title":1189,"path":1190,"stem":1191},"Від Minimal API до Razor Pages: концептуальний перехід","\u002Fcsharp\u002Faspnet\u002Frazor-pages\u002Ffrom-minimal-api","01.csharp\u002F11.aspnet\u002F10.razor-pages\u002F01.from-minimal-api",{"title":1193,"path":1194,"stem":1195},"PageModel: логіка сторінки Razor Pages","\u002Fcsharp\u002Faspnet\u002Frazor-pages\u002Fpage-model","01.csharp\u002F11.aspnet\u002F10.razor-pages\u002F02.page-model",{"title":1197,"path":1198,"stem":1199},"Razor синтаксис: шаблонізатор у .cshtml","\u002Fcsharp\u002Faspnet\u002Frazor-pages\u002Frazor-syntax","01.csharp\u002F11.aspnet\u002F10.razor-pages\u002F03.razor-syntax",{"title":1201,"path":1202,"stem":1203},"Tag Helpers: типізований HTML","\u002Fcsharp\u002Faspnet\u002Frazor-pages\u002Ftag-helpers","01.csharp\u002F11.aspnet\u002F10.razor-pages\u002F04.tag-helpers",{"title":1205,"path":1206,"stem":1207},"Форми і валідація: повний цикл обробки даних","\u002Fcsharp\u002Faspnet\u002Frazor-pages\u002Fforms-validation","01.csharp\u002F11.aspnet\u002F10.razor-pages\u002F05.forms-validation",{"title":1209,"path":1210,"stem":1211},"Практичний проєкт: TaskManager на Razor Pages","\u002Fcsharp\u002Faspnet\u002Frazor-pages\u002Fproject-task-manager","01.csharp\u002F11.aspnet\u002F10.razor-pages\u002F06.project-task-manager",{"title":1213,"path":1214,"stem":1215,"children":1216,"page":59},"ASP.NET Core MVC","\u002Fcsharp\u002Faspnet\u002Fmvc","01.csharp\u002F11.aspnet\u002F11.mvc",[1217,1221,1225,1229,1233,1237,1241,1245,1249,1253,1257,1261,1265,1269,1273,1277,1281,1285],{"title":1218,"path":1219,"stem":1220},"Патерн MVC: архітектура, що змінила веб","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fmvc-pattern","01.csharp\u002F11.aspnet\u002F11.mvc\u002F01.mvc-pattern",{"title":1222,"path":1223,"stem":1224},"Від Razor Pages до MVC: концептуальний перехід","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Ffrom-razor-pages","01.csharp\u002F11.aspnet\u002F11.mvc\u002F02.from-razor-pages",{"title":1226,"path":1227,"stem":1228},"Controllers та Actions: серце MVC","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fcontrollers-actions","01.csharp\u002F11.aspnet\u002F11.mvc\u002F03.controllers-actions",{"title":1230,"path":1231,"stem":1232},"Маршрутизація в MVC: Convention vs Attribute Routing","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Frouting-mvc","01.csharp\u002F11.aspnet\u002F11.mvc\u002F04.routing-mvc",{"title":1234,"path":1235,"stem":1236},"Model Binding: від HTTP до C#","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fmodel-binding","01.csharp\u002F11.aspnet\u002F11.mvc\u002F05.model-binding",{"title":1238,"path":1239,"stem":1240},"Views, ViewData, ViewBag, TempData і ViewModel","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fviews-viewdata-tempdata","01.csharp\u002F11.aspnet\u002F11.mvc\u002F06.views-viewdata-tempdata",{"title":1242,"path":1243,"stem":1244},"Filters: аспектно-орієнтоване програмування в MVC","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Ffilters","01.csharp\u002F11.aspnet\u002F11.mvc\u002F07.filters",{"title":1246,"path":1247,"stem":1248},"Areas: структурування великих застосунків","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fareas","01.csharp\u002F11.aspnet\u002F11.mvc\u002F08.areas",{"title":1250,"path":1251,"stem":1252},"View Components: повторювані незалежні блоки UI","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fview-components","01.csharp\u002F11.aspnet\u002F11.mvc\u002F09.view-components",{"title":1254,"path":1255,"stem":1256},"Display та Editor Templates","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fdisplay-editor-templates","01.csharp\u002F11.aspnet\u002F11.mvc\u002F10.display-editor-templates",{"title":1258,"path":1259,"stem":1260},"Валідація: IValidatableObject та FluentValidation","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fvalidation-advanced","01.csharp\u002F11.aspnet\u002F11.mvc\u002F11.validation-advanced",{"title":1262,"path":1263,"stem":1264},"HTMX: інтерактивність через HTML-атрибути","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fhtmx","01.csharp\u002F11.aspnet\u002F11.mvc\u002F12.htmx",{"title":1266,"path":1267,"stem":1268},"HTMX у ASP.NET Core MVC: серверна інтеграція","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fajax-htmx-mvc","01.csharp\u002F11.aspnet\u002F11.mvc\u002F13.ajax-htmx-mvc",{"title":1270,"path":1271,"stem":1272},"Практичний проєкт: Каталог товарів з HTMX","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fhtmx-project","01.csharp\u002F11.aspnet\u002F11.mvc\u002F14.htmx-project",{"title":1274,"path":1275,"stem":1276},"Завантаження та обробка файлів","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Ffile-upload","01.csharp\u002F11.aspnet\u002F11.mvc\u002F15.file-upload",{"title":1278,"path":1279,"stem":1280},"Глобалізація та Локалізація MVC","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fglobalization-localization","01.csharp\u002F11.aspnet\u002F11.mvc\u002F16.globalization-localization",{"title":1282,"path":1283,"stem":1284},"Підсумковий проєкт: Блог-платформа","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fmvc-project","01.csharp\u002F11.aspnet\u002F11.mvc\u002F17.mvc-project",{"title":1286,"path":1287,"stem":1288},"План курсу: ASP.NET Core MVC","\u002Fcsharp\u002Faspnet\u002Fmvc\u002Fplan","01.csharp\u002F11.aspnet\u002F11.mvc\u002Fplan",{"title":1290,"path":1291,"stem":1292,"children":1293,"page":59},"Web Api","\u002Fcsharp\u002Faspnet\u002Fweb-api","01.csharp\u002F11.aspnet\u002F12.web-api",[1294,1298,1302,1306,1310,1314,1318,1322,1326,1330,1334,1338,1342],{"title":1295,"path":1296,"stem":1297},"Від Minimal API до Controller-based API","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Ffrom-minimal-api-to-controllers","01.csharp\u002F11.aspnet\u002F12.web-api\u002F01.from-minimal-api-to-controllers",{"title":1299,"path":1300,"stem":1301},"ControllerBase, ActionResult\u003CT> та Response Types","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Fcontroller-base-actionresult","01.csharp\u002F11.aspnet\u002F12.web-api\u002F02.controller-base-actionresult",{"title":1303,"path":1304,"stem":1305},"Content Negotiation - JSON, XML та власні форматери","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Fcontent-negotiation","01.csharp\u002F11.aspnet\u002F12.web-api\u002F03.content-negotiation",{"title":1307,"path":1308,"stem":1309},"Версіонування API","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Fapi-versioning","01.csharp\u002F11.aspnet\u002F12.web-api\u002F04.api-versioning",{"title":1311,"path":1312,"stem":1313},"ProblemDetails та структурована обробка помилок","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Fproblemdetails-error-handling","01.csharp\u002F11.aspnet\u002F12.web-api\u002F05.problemdetails-error-handling",{"title":1315,"path":1316,"stem":1317},"Фільтри у Web API контексті","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Ffilters-for-api","01.csharp\u002F11.aspnet\u002F12.web-api\u002F06.filters-for-api",{"title":1319,"path":1320,"stem":1321},"Пагінація, фільтрація та сортування","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Fpagination-filtering-sorting","01.csharp\u002F11.aspnet\u002F12.web-api\u002F07.pagination-filtering-sorting",{"title":1323,"path":1324,"stem":1325},"HATEOAS та Resource Expansion","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Fhateoas-resource-expansion","01.csharp\u002F11.aspnet\u002F12.web-api\u002F08.hateoas-resource-expansion",{"title":1327,"path":1328,"stem":1329},"Гібридна архітектура - Minimal API + Controllers","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Fminimal-api-vs-controllers-hybrid","01.csharp\u002F11.aspnet\u002F12.web-api\u002F09.minimal-api-vs-controllers-hybrid",{"title":1331,"path":1332,"stem":1333},"Документація API - Swashbuckle, NSwag та генерація клієнтів","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Fapi-documentation-generation","01.csharp\u002F11.aspnet\u002F12.web-api\u002F10.api-documentation-generation",{"title":1335,"path":1336,"stem":1337},"Health Checks та моніторинг API","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Fhealth-checks-monitoring","01.csharp\u002F11.aspnet\u002F12.web-api\u002F11.health-checks-monitoring",{"title":1339,"path":1340,"stem":1341},"Підсумковий проєкт - Production-Ready REST API","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Fweb-api-project","01.csharp\u002F11.aspnet\u002F12.web-api\u002F12.web-api-project",{"title":1343,"path":1344,"stem":1345},"План курсу: ASP.NET Core Web API (Controllers)","\u002Fcsharp\u002Faspnet\u002Fweb-api\u002Fplan","01.csharp\u002F11.aspnet\u002F12.web-api\u002Fplan",{"title":1347,"icon":1348,"path":1349,"stem":1350,"children":1351,"page":59},"Моніторинг","i-lucide-activity","\u002Fcsharp\u002Faspnet\u002Fmonitoring","01.csharp\u002F11.aspnet\u002F13.monitoring",[1352,1356,1360],{"title":1353,"path":1354,"stem":1355},"Спостережуваність: від console.log до production-систем","\u002Fcsharp\u002Faspnet\u002Fmonitoring\u002Fobservability-intro","01.csharp\u002F11.aspnet\u002F13.monitoring\u002F01.observability-intro",{"title":1357,"path":1358,"stem":1359},"Health Checks: перший рівень observability","\u002Fcsharp\u002Faspnet\u002Fmonitoring\u002Fhealth-checks","01.csharp\u002F11.aspnet\u002F13.monitoring\u002F02.health-checks",{"title":1361,"path":1362,"stem":1363},"Вбудовані метрики .NET 10 та System.Diagnostics.Metrics","\u002Fcsharp\u002Faspnet\u002Fmonitoring\u002Fdotnet-metrics","01.csharp\u002F11.aspnet\u002F13.monitoring\u002F03.dotnet-metrics",{"title":1365,"icon":1366,"path":1367,"stem":1368,"children":1369,"page":59},"Desktop UI","i-lucide-app-window","\u002Fcsharp\u002Fdesktop-ui","01.csharp\u002F12.desktop-ui",[1370,1374,1378,1382,1386,1390,1394,1398,1402,1406,1410,1414,1418,1422,1426,1430,1434,1438,1442,1446,1450,1454,1458,1462,1466,1470,1474,1478,1482,1486,1490,1494,1498,1502,1506,1510,1514,1518,1522,1526,1530,1534,1538,1542,1546,1550,1554,1558,1562,1566,1570,1574,1578,1582,1586,1590,1594,1598,1602,1606,1610,1614,1618,1622,1626,1630,1634,1638,1642,1646,1650],{"title":1371,"path":1372,"stem":1373},"Що таке десктопна розробка?","\u002Fcsharp\u002Fdesktop-ui\u002Fwhat-is-desktop-dev","01.csharp\u002F12.desktop-ui\u002F01.what-is-desktop-dev",{"title":1375,"path":1376,"stem":1377},"Архітектура WPF — як влаштований графічний інтерфейс","\u002Fcsharp\u002Fdesktop-ui\u002Fwpf-architecture","01.csharp\u002F12.desktop-ui\u002F02.wpf-architecture",{"title":1379,"path":1380,"stem":1381},"Перший WPF-проєкт — від нуля до вікна","\u002Fcsharp\u002Fdesktop-ui\u002Ffirst-wpf-app","01.csharp\u002F12.desktop-ui\u002F03.first-wpf-app",{"title":1383,"path":1384,"stem":1385},"Перший Avalonia-проєкт: WPF для всіх платформ","\u002Fcsharp\u002Fdesktop-ui\u002F03a.first-avalonia-app","01.csharp\u002F12.desktop-ui\u002F03a.first-avalonia-app",{"title":1387,"path":1388,"stem":1389},"XAML: декларативний інтерфейс","\u002Fcsharp\u002Fdesktop-ui\u002Fxaml-basics","01.csharp\u002F12.desktop-ui\u002F04.xaml-basics",{"title":1391,"path":1392,"stem":1393},"Fluent UI у WPF — сучасний дизайн Windows 11","\u002Fcsharp\u002Fdesktop-ui\u002F04a.wpf-fluent-ui","01.csharp\u002F12.desktop-ui\u002F04a.wpf-fluent-ui",{"title":1395,"path":1396,"stem":1397},"WPF UI — сучасна бібліотека Fluent контролів","\u002Fcsharp\u002Fdesktop-ui\u002F04b.wpf-ui-library","01.csharp\u002F12.desktop-ui\u002F04b.wpf-ui-library",{"title":1399,"path":1400,"stem":1401},"HandyControl — велика бібліотека UI контролів для WPF","\u002Fcsharp\u002Fdesktop-ui\u002F04c.handycontrol-library","01.csharp\u002F12.desktop-ui\u002F04c.handycontrol-library",{"title":1403,"path":1404,"stem":1405},"Простори імен та ресурси XAML","\u002Fcsharp\u002Fdesktop-ui\u002Fxaml-namespaces-resources","01.csharp\u002F12.desktop-ui\u002F05.xaml-namespaces-resources",{"title":1407,"path":1408,"stem":1409},"XAML в Avalonia: ключові відмінності від WPF","\u002Fcsharp\u002Fdesktop-ui\u002F05a.avalonia-xaml-differences","01.csharp\u002F12.desktop-ui\u002F05a.avalonia-xaml-differences",{"title":1411,"path":1412,"stem":1413},"Розширення розмітки XAML (Markup Extensions)","\u002Fcsharp\u002Fdesktop-ui\u002Fxaml-markup-extensions","01.csharp\u002F12.desktop-ui\u002F06.xaml-markup-extensions",{"title":1415,"path":1416,"stem":1417},"Панелі Layout: StackPanel, WrapPanel, DockPanel","\u002Fcsharp\u002Fdesktop-ui\u002Flayout-panels-part1","01.csharp\u002F12.desktop-ui\u002F07.layout-panels-part1",{"title":1419,"path":1420,"stem":1421},"Grid, Canvas, UniformGrid","\u002Fcsharp\u002Fdesktop-ui\u002Flayout-panels-part2","01.csharp\u002F12.desktop-ui\u002F07.layout-panels-part2",{"title":1423,"path":1424,"stem":1425},"Просунуті техніки Layout","\u002Fcsharp\u002Fdesktop-ui\u002Flayout-advanced","01.csharp\u002F12.desktop-ui\u002F08.layout-advanced",{"title":1427,"path":1428,"stem":1429},"Адаптивний Layout та найкращі практики","\u002Fcsharp\u002Fdesktop-ui\u002Flayout-responsive","01.csharp\u002F12.desktop-ui\u002F09.layout-responsive",{"title":1431,"path":1432,"stem":1433},"Layout в Avalonia: відмінності та нові можливості","\u002Fcsharp\u002Fdesktop-ui\u002F09a.layout-avalonia","01.csharp\u002F12.desktop-ui\u002F09a.layout-avalonia",{"title":1435,"path":1436,"stem":1437},"Button, Image, ProgressBar та інші базові контроли","\u002Fcsharp\u002Fdesktop-ui\u002Fbasic-controls","01.csharp\u002F12.desktop-ui\u002F10.basic-controls",{"title":1439,"path":1440,"stem":1441},"Контроли в Avalonia: відмінності від WPF","\u002Fcsharp\u002Fdesktop-ui\u002F10a.controls-avalonia","01.csharp\u002F12.desktop-ui\u002F10a.controls-avalonia",{"title":1443,"path":1444,"stem":1445},"Текстові контроли — TextBlock, TextBox, RichTextBox","\u002Fcsharp\u002Fdesktop-ui\u002Ftext-controls","01.csharp\u002F12.desktop-ui\u002F11.text-controls",{"title":1447,"path":1448,"stem":1449},"Контроли вибору — CheckBox, RadioButton, ComboBox, ListBox, DatePicker","\u002Fcsharp\u002Fdesktop-ui\u002Fselection-controls","01.csharp\u002F12.desktop-ui\u002F12.selection-controls",{"title":1451,"path":1452,"stem":1453},"Content Model — GroupBox, Expander, TabControl, StatusBar","\u002Fcsharp\u002Fdesktop-ui\u002Fcontent-controls","01.csharp\u002F12.desktop-ui\u002F13.content-controls",{"title":1455,"path":1456,"stem":1457},"UI\u002FUX принципи десктопних застосунків","\u002Fcsharp\u002Fdesktop-ui\u002F13a.ui-ux-principles","01.csharp\u002F12.desktop-ui\u002F13a.ui-ux-principles",{"title":1459,"path":1460,"stem":1461},"Dependency Properties — Концепція та Value Resolution","\u002Fcsharp\u002Fdesktop-ui\u002Fdependency-properties-part1","01.csharp\u002F12.desktop-ui\u002F14.dependency-properties-part1",{"title":1463,"path":1464,"stem":1465},"Avalonia Property System — StyledProperty та DirectProperty","\u002Fcsharp\u002Fdesktop-ui\u002F14a.avalonia-property-system","01.csharp\u002F12.desktop-ui\u002F14a.avalonia-property-system",{"title":1467,"path":1468,"stem":1469},"Attached Properties — Властивості без меж","\u002Fcsharp\u002Fdesktop-ui\u002Fattached-properties","01.csharp\u002F12.desktop-ui\u002F15.attached-properties",{"title":1471,"path":1472,"stem":1473},"Routed Events — Маршрутизація подій у WPF","\u002Fcsharp\u002Fdesktop-ui\u002Frouted-events","01.csharp\u002F12.desktop-ui\u002F16.routed-events",{"title":1475,"path":1476,"stem":1477},"Data Binding — Від Code-Behind до Декларативності","\u002Fcsharp\u002Fdesktop-ui\u002Fdata-binding-basics-part1","01.csharp\u002F12.desktop-ui\u002F17.data-binding-basics-part1",{"title":1479,"path":1480,"stem":1481},"INotifyPropertyChanged — Живе оновлення UI","\u002Fcsharp\u002Fdesktop-ui\u002Fdata-binding-basics-part2","01.csharp\u002F12.desktop-ui\u002F17.data-binding-basics-part2",{"title":1483,"path":1484,"stem":1485},"Compiled Bindings в Avalonia — Безпека на етапі компіляції","\u002Fcsharp\u002Fdesktop-ui\u002F17a.avalonia-compiled-bindings","01.csharp\u002F12.desktop-ui\u002F17a.avalonia-compiled-bindings",{"title":1487,"path":1488,"stem":1489},"Просунутий Data Binding — ElementName, RelativeSource, MultiBinding","\u002Fcsharp\u002Fdesktop-ui\u002Fdata-binding-advanced","01.csharp\u002F12.desktop-ui\u002F18.data-binding-advanced",{"title":1491,"path":1492,"stem":1493},"Value Converters — Перетворення типів даних у Data Binding","\u002Fcsharp\u002Fdesktop-ui\u002Fvalue-converters","01.csharp\u002F12.desktop-ui\u002F19.value-converters",{"title":1495,"path":1496,"stem":1497},"Data Templates — Візуалізація об'єктів у WPF","\u002Fcsharp\u002Fdesktop-ui\u002Fdata-templates","01.csharp\u002F12.desktop-ui\u002F20.data-templates",{"title":1499,"path":1500,"stem":1501},"Collections Binding Part 1 — ObservableCollection та ItemsControl","\u002Fcsharp\u002Fdesktop-ui\u002Fcollections-binding-part1","01.csharp\u002F12.desktop-ui\u002F21.collections-binding-part1",{"title":1503,"path":1504,"stem":1505},"Collections Binding Part 2 — ICollectionView, Filtering, Sorting та Virtualization","\u002Fcsharp\u002Fdesktop-ui\u002Fcollections-binding-part2","01.csharp\u002F12.desktop-ui\u002F21.collections-binding-part2",{"title":1507,"path":1508,"stem":1509},"MVVM Pattern — Від Spaghetti Code до архітектури","\u002Fcsharp\u002Fdesktop-ui\u002Fmvvm-pattern","01.csharp\u002F12.desktop-ui\u002F22.mvvm-pattern",{"title":1511,"path":1512,"stem":1513},"ViewModel Implementation — Від BaseViewModel до валідації","\u002Fcsharp\u002Fdesktop-ui\u002Fviewmodel-implementation","01.csharp\u002F12.desktop-ui\u002F23.viewmodel-implementation",{"title":1515,"path":1516,"stem":1517},"Commands — Від event handlers до декларативних команд","\u002Fcsharp\u002Fdesktop-ui\u002Fcommands","01.csharp\u002F12.desktop-ui\u002F24.commands",{"title":1519,"path":1520,"stem":1521},"MVVM Toolkit — MVVM без boilerplate через Source Generators","\u002Fcsharp\u002Fdesktop-ui\u002Fmvvm-toolkit","01.csharp\u002F12.desktop-ui\u002F25.mvvm-toolkit",{"title":1523,"path":1524,"stem":1525},"Messenger Pattern — Комунікація між ViewModel без прямих посилань","\u002Fcsharp\u002Fdesktop-ui\u002Fmessenger-pattern","01.csharp\u002F12.desktop-ui\u002F26.messenger-pattern",{"title":1527,"path":1528,"stem":1529},"Стилі WPF — CSS для десктопу","\u002Fcsharp\u002Fdesktop-ui\u002Fstyles-basics","01.csharp\u002F12.desktop-ui\u002F27.styles-basics",{"title":1531,"path":1532,"stem":1533},"CSS-like стилі Avalonia","\u002Fcsharp\u002Fdesktop-ui\u002F27a.avalonia-css-styling","01.csharp\u002F12.desktop-ui\u002F27a.avalonia-css-styling",{"title":1535,"path":1536,"stem":1537},"Control Templates — Частина 1. Концепція та TemplateBinding","\u002Fcsharp\u002Fdesktop-ui\u002Fcontrol-templates-part1","01.csharp\u002F12.desktop-ui\u002F28.control-templates-part1",{"title":1539,"path":1540,"stem":1541},"Control Templates — Частина 2. Named Parts та ContentPresenter","\u002Fcsharp\u002Fdesktop-ui\u002Fcontrol-templates-part2","01.csharp\u002F12.desktop-ui\u002F28.control-templates-part2",{"title":1543,"path":1544,"stem":1545},"Control Themes в Avalonia — нова ера стилізації","\u002Fcsharp\u002Fdesktop-ui\u002F28a.avalonia-control-themes","01.csharp\u002F12.desktop-ui\u002F28a.avalonia-control-themes",{"title":1547,"path":1548,"stem":1549},"Triggers та Visual State Manager у WPF","\u002Fcsharp\u002Fdesktop-ui\u002Ftriggers-visual-states","01.csharp\u002F12.desktop-ui\u002F29.triggers-visual-states",{"title":1551,"path":1552,"stem":1553},"Pseudo-classes в Avalonia — замість WPF Triggers","\u002Fcsharp\u002Fdesktop-ui\u002F29a.avalonia-pseudo-classes","01.csharp\u002F12.desktop-ui\u002F29a.avalonia-pseudo-classes",{"title":1555,"path":1556,"stem":1557},"Теми та ресурсні словники у WPF","\u002Fcsharp\u002Fdesktop-ui\u002Fresources-themes","01.csharp\u002F12.desktop-ui\u002F30.resources-themes",{"title":1559,"path":1560,"stem":1561},"Avalonia Themes — Fluent Design та система тематизації","\u002Fcsharp\u002Fdesktop-ui\u002F30a.avalonia-themes-fluent","01.csharp\u002F12.desktop-ui\u002F30a.avalonia-themes-fluent",{"title":1563,"path":1564,"stem":1565},"Контроли колекцій — глибоке занурення","\u002Fcsharp\u002Fdesktop-ui\u002Fcollection-controls","01.csharp\u002F12.desktop-ui\u002F31.collection-controls",{"title":1567,"path":1568,"stem":1569},"DataGrid — колонки та базове відображення","\u002Fcsharp\u002Fdesktop-ui\u002Fdatagrid-part1","01.csharp\u002F12.desktop-ui\u002F32.datagrid-part1",{"title":1571,"path":1572,"stem":1573},"DataGrid — сортування, фільтрація, редагування","\u002Fcsharp\u002Fdesktop-ui\u002Fdatagrid-part2","01.csharp\u002F12.desktop-ui\u002F32.datagrid-part2",{"title":1575,"path":1576,"stem":1577},"TreeView та GridView","\u002Fcsharp\u002Fdesktop-ui\u002Ftreeview-listview","01.csharp\u002F12.desktop-ui\u002F33.treeview-listview",{"title":1579,"path":1580,"stem":1581},"Меню, Toolbar, ContextMenu, StatusBar","\u002Fcsharp\u002Fdesktop-ui\u002Fmenus-toolbars","01.csharp\u002F12.desktop-ui\u002F34.menus-toolbars",{"title":1583,"path":1584,"stem":1585},"Навігація та керування вікнами. Частина 1: вікна та сторінки","\u002Fcsharp\u002Fdesktop-ui\u002Fnavigation-windows-part1","01.csharp\u002F12.desktop-ui\u002F35.navigation-windows-part1",{"title":1587,"path":1588,"stem":1589},"Навігація та керування вікнами. Частина 2: MVVM-навігація","\u002Fcsharp\u002Fdesktop-ui\u002Fnavigation-windows-part2","01.csharp\u002F12.desktop-ui\u002F35.navigation-windows-part2",{"title":1591,"path":1592,"stem":1593},"Avalonia — Навігація та діалоги","\u002Fcsharp\u002Fdesktop-ui\u002F35a.avalonia-navigation-dialogs","01.csharp\u002F12.desktop-ui\u002F35a.avalonia-navigation-dialogs",{"title":1595,"path":1596,"stem":1597},"Діалоги та File Pickers у WPF","\u002Fcsharp\u002Fdesktop-ui\u002Fdialogs-file-pickers","01.csharp\u002F12.desktop-ui\u002F36.dialogs-file-pickers",{"title":1599,"path":1600,"stem":1601},"UserControl: компонентний підхід у WPF","\u002Fcsharp\u002Fdesktop-ui\u002Fuser-controls","01.csharp\u002F12.desktop-ui\u002F37.user-controls",{"title":1603,"path":1604,"stem":1605},"Custom Controls: Lookless Controls у WPF","\u002Fcsharp\u002Fdesktop-ui\u002Fcustom-controls","01.csharp\u002F12.desktop-ui\u002F38.custom-controls",{"title":1607,"path":1608,"stem":1609},"Avalonia TemplatedControl — Lookless Controls","\u002Fcsharp\u002Fdesktop-ui\u002F38a.avalonia-templated-controls","01.csharp\u002F12.desktop-ui\u002F38a.avalonia-templated-controls",{"title":1611,"path":1612,"stem":1613},"Анімації у WPF: Storyboard та Easing Functions","\u002Fcsharp\u002Fdesktop-ui\u002Fanimations-transitions","01.csharp\u002F12.desktop-ui\u002F39.animations-transitions",{"title":1615,"path":1616,"stem":1617},"Анімації в Avalonia","\u002Fcsharp\u002Fdesktop-ui\u002F39a.avalonia-animations","01.csharp\u002F12.desktop-ui\u002F39a.avalonia-animations",{"title":1619,"path":1620,"stem":1621},"2D Графіка та Мультимедіа у WPF","\u002Fcsharp\u002Fdesktop-ui\u002Fmedia-graphics","01.csharp\u002F12.desktop-ui\u002F40.media-graphics",{"title":1623,"path":1624,"stem":1625},"Dependency Injection у WPF та Avalonia","\u002Fcsharp\u002Fdesktop-ui\u002Fdi-integration","01.csharp\u002F12.desktop-ui\u002F41.di-integration",{"title":1627,"path":1628,"stem":1629},"SQLite та EF Core у десктопних додатках","\u002Fcsharp\u002Fdesktop-ui\u002Fdata-persistence-part1","01.csharp\u002F12.desktop-ui\u002F42.data-persistence-part1",{"title":1631,"path":1632,"stem":1633},"Repository Pattern та Unit of Work","\u002Fcsharp\u002Fdesktop-ui\u002Fdata-persistence-part2","01.csharp\u002F12.desktop-ui\u002F43.data-persistence-part2",{"title":1635,"path":1636,"stem":1637},"Тестування ViewModels","\u002Fcsharp\u002Fdesktop-ui\u002Fviewmodel-testing","01.csharp\u002F12.desktop-ui\u002F44.viewmodel-testing",{"title":1639,"path":1640,"stem":1641},"Avalonia Headless Testing — тестування UI без вікон","\u002Fcsharp\u002Fdesktop-ui\u002F44a.avalonia-headless-testing","01.csharp\u002F12.desktop-ui\u002F44a.avalonia-headless-testing",{"title":1643,"path":1644,"stem":1645},"Кросплатформна розробка з Avalonia","\u002Fcsharp\u002Fdesktop-ui\u002Favalonia-cross-platform","01.csharp\u002F12.desktop-ui\u002F45.avalonia-cross-platform",{"title":1647,"path":1648,"stem":1649},"Пакування та розгортання Avalonia додатків","\u002Fcsharp\u002Fdesktop-ui\u002Favalonia-packaging-deployment","01.csharp\u002F12.desktop-ui\u002F46.avalonia-packaging-deployment",{"title":1651,"path":1652,"stem":1653},"Розгортання WPF застосунків","\u002Fcsharp\u002Fdesktop-ui\u002Fwpf-packaging-deployment","01.csharp\u002F12.desktop-ui\u002F47.wpf-packaging-deployment",{"title":1655,"icon":658,"path":1656,"stem":1657,"children":1658,"page":59},"Network Programming","\u002Fcsharp\u002Fnetwork-programming","01.csharp\u002F13.network-programming",[1659,1663,1667,1671,1675,1679,1683,1687,1691,1695,1699],{"title":1660,"path":1661,"stem":1662},"Основи комп'ютерних мереж","\u002Fcsharp\u002Fnetwork-programming\u002Ffoundations","01.csharp\u002F13.network-programming\u002F01.foundations",{"title":1664,"path":1665,"stem":1666},"Модель OSI та стек TCP\u002FIP","\u002Fcsharp\u002Fnetwork-programming\u002Fosi-model","01.csharp\u002F13.network-programming\u002F02.osi-model",{"title":1668,"path":1669,"stem":1670},"IP-протокол та адресація","\u002Fcsharp\u002Fnetwork-programming\u002Fip-addressing","01.csharp\u002F13.network-programming\u002F03.ip-addressing",{"title":1672,"path":1673,"stem":1674},"UDP — протокол без з'єднання","\u002Fcsharp\u002Fnetwork-programming\u002Fudp","01.csharp\u002F13.network-programming\u002F05.udp",{"title":1676,"path":1677,"stem":1678},"UDP Broadcast та Multicast","\u002Fcsharp\u002Fnetwork-programming\u002Fudp-broadcast-multicast","01.csharp\u002F13.network-programming\u002F06.udp-broadcast-multicast",{"title":1680,"path":1681,"stem":1682},"HTTP — протокол вебу","\u002Fcsharp\u002Fnetwork-programming\u002Fhttp-fundamentals","01.csharp\u002F13.network-programming\u002F07.http-fundamentals",{"title":1684,"path":1685,"stem":1686},"HttpListener — вбудований HTTP-сервер .NET","\u002Fcsharp\u002Fnetwork-programming\u002F07a.http-listener","01.csharp\u002F13.network-programming\u002F07a.http-listener",{"title":1688,"path":1689,"stem":1690},"HTTP Advanced — cookies, аутентифікація та HTTPS","\u002Fcsharp\u002Fnetwork-programming\u002Fhttp-advanced","01.csharp\u002F13.network-programming\u002F08.http-advanced",{"title":1692,"path":1693,"stem":1694},"SMTP та протоколи електронної пошти","\u002Fcsharp\u002Fnetwork-programming\u002Fsmtp","01.csharp\u002F13.network-programming\u002F09.smtp",{"title":1696,"path":1697,"stem":1698},"WebSocket — повнодуплексний протокол реального часу","\u002Fcsharp\u002Fnetwork-programming\u002Fwebsockets","01.csharp\u002F13.network-programming\u002F10.websockets",{"title":1700,"path":1701,"stem":1702},"TLS\u002FSSL — криптографічний захист мережевих з'єднань","\u002Fcsharp\u002Fnetwork-programming\u002Ftls-ssl","01.csharp\u002F13.network-programming\u002F11.tls-ssl",{"title":1704,"path":1705,"stem":1706},"C# & .NET: The Ultimate Roadmap","\u002Fcsharp\u002Froadmap","01.csharp\u002Froadmap",{"title":1708,"icon":1709,"path":1710,"stem":1711,"children":1712,"page":59},"C++","i-devicon-cplusplus","\u002Fcpp","02.cpp",[1713,1717,1721,1725,1729,1733,1737,1741,1745,1748,1752,1756,1760,1764,1768,1772,1776,1780,1784,1788,1792,1796,1800,1804,1808,1812,1816,1820,1824,1828,1832,1836,1840,1844,1848,1852,1856,1860,1864,1868,1872,1876,1880,1884,1888,1892,1896,1900,1904,1908,1912,1916,1920,1924,1928,1932,1936,1940,1944,1948,1952,1956,1960,1964,1968,1972,1976,1980,1984,1988,1992,1996,2000,2004,2008,2012,2016,2020,2024,2028,2032,2036,2040,2044,2048,2052,2056,2060,2064,2068,2072,2076,2080],{"title":1714,"path":1715,"stem":1716},"Вступ у програмування та алгоритми","\u002Fcpp\u002Fintro-algorithms","02.cpp\u002F01.intro-algorithms",{"title":1718,"path":1719,"stem":1720},"Code Style: угоди про оформлення коду","\u002Fcpp\u002Fcode-style","02.cpp\u002F02.code-style",{"title":1722,"path":1723,"stem":1724},"Середовище розробки та перший проєкт","\u002Fcpp\u002Fide-setup","02.cpp\u002F03.ide-setup",{"title":1726,"path":1727,"stem":1728},"Вивід даних на екран","\u002Fcpp\u002Fdata-output","02.cpp\u002F04.data-output",{"title":1730,"path":1731,"stem":1732},"Типи даних, змінні та константи","\u002Fcpp\u002Fdata-types-variables","02.cpp\u002F05.data-types-variables",{"title":1734,"path":1735,"stem":1736},"Ввід даних з клавіатури","\u002Fcpp\u002Fdata-input","02.cpp\u002F06.data-input",{"title":1738,"path":1739,"stem":1740},"Оператори, перетворення типів та логічні операції","\u002Fcpp\u002Foperators-type-conversion","02.cpp\u002F07.operators-type-conversion",{"title":1742,"path":1743,"stem":1744},"Цикли","\u002Fcpp\u002Floops","02.cpp\u002F08.loops",{"title":32,"path":1746,"stem":1747},"\u002Fcpp\u002Farrays","02.cpp\u002F09.arrays",{"title":1749,"path":1750,"stem":1751},"Алгоритми сортування та аналіз складності","\u002Fcpp\u002Fsorting","02.cpp\u002F10.sorting",{"title":1753,"path":1754,"stem":1755},"Алгоритми пошуку","\u002Fcpp\u002Fsearching","02.cpp\u002F11.searching",{"title":1757,"path":1758,"stem":1759},"Функції: основи","\u002Fcpp\u002Ffunctions-basics","02.cpp\u002F12.functions-basics",{"title":1761,"path":1762,"stem":1763},"Функції: прототипи, область видимості та додаткові можливості","\u002Fcpp\u002Ffunctions-scope","02.cpp\u002F13.functions-scope",{"title":1765,"path":1766,"stem":1767},"Функції: перевантаження та шаблони","\u002Fcpp\u002Ffunctions-overloading-templates","02.cpp\u002F14.functions-overloading-templates",{"title":1769,"path":1770,"stem":1771},"Вказівники: основи","\u002Fcpp\u002Fpointers-basics","02.cpp\u002F15.pointers-basics",{"title":1773,"path":1774,"stem":1775},"Посилання (References)","\u002Fcpp\u002Freferences","02.cpp\u002F16.references",{"title":1777,"path":1778,"stem":1779},"Вказівники, const і масиви","\u002Fcpp\u002Fpointers-const-arrays","02.cpp\u002F17.pointers-const-arrays",{"title":1781,"path":1782,"stem":1783},"Адресна арифметика","\u002Fcpp\u002Fpointer-arithmetic","02.cpp\u002F18.pointer-arithmetic",{"title":1785,"path":1786,"stem":1787},"Динамічна пам'ять","\u002Fcpp\u002Fdynamic-memory","02.cpp\u002F19.dynamic-memory",{"title":1789,"path":1790,"stem":1791},"Вказівники типу void","\u002Fcpp\u002Fvoid-pointers","02.cpp\u002F20.void-pointers",{"title":1793,"path":1794,"stem":1795},"Вказівники на вказівники","\u002Fcpp\u002Fpointers-to-pointers","02.cpp\u002F21.pointers-to-pointers",{"title":1797,"path":1798,"stem":1799},"Оператор доступу до членів через вказівник (->)","\u002Fcpp\u002Fmember-access-operator","02.cpp\u002F22.member-access-operator",{"title":1801,"path":1802,"stem":1803},"Цикл for-each (Range-based for)","\u002Fcpp\u002Fforeach-loop","02.cpp\u002F23.foreach-loop",{"title":1805,"path":1806,"stem":1807},"Вказівники на функції","\u002Fcpp\u002Ffunction-pointers","02.cpp\u002F24.function-pointers",{"title":1809,"path":1810,"stem":1811},"Лямбда-вирази","\u002Fcpp\u002Flambdas","02.cpp\u002F25.lambdas",{"title":1813,"path":1814,"stem":1815},"Лямбда-захоплення","\u002Fcpp\u002Flambda-captures","02.cpp\u002F26.lambda-captures",{"title":1817,"path":1818,"stem":1819},"Еліпсис","\u002Fcpp\u002Fellipsis","02.cpp\u002F27.ellipsis",{"title":1821,"path":1822,"stem":1823},"Безпечні альтернативи еліпсису","\u002Fcpp\u002F27a.ellipsis","02.cpp\u002F27a.ellipsis",{"title":1825,"path":1826,"stem":1827},"Аргументи командного рядка","\u002Fcpp\u002Fcommand-line-arguments","02.cpp\u002F28.command-line-arguments",{"title":1829,"path":1830,"stem":1831},"Перерахування (enum)","\u002Fcpp\u002Fenum","02.cpp\u002F29.enum",{"title":1833,"path":1834,"stem":1835},"Класи-перерахування (enum class)","\u002Fcpp\u002Fenum-class","02.cpp\u002F30.enum-class",{"title":1837,"path":1838,"stem":1839},"Псевдоніми типів (typedef і using)","\u002Fcpp\u002Ftype-aliases","02.cpp\u002F31.type-aliases",{"title":1841,"path":1842,"stem":1843},"Системи числення та двійкова арифметика","\u002Fcpp\u002Fnumber-systems","02.cpp\u002F32.number-systems",{"title":1845,"path":1846,"stem":1847},"Структури (struct): агрегування даних","\u002Fcpp\u002Fstruct","02.cpp\u002F33.struct",{"title":1849,"path":1850,"stem":1851},"Структури у функціях","\u002Fcpp\u002Fstruct-functions","02.cpp\u002F34.struct-functions",{"title":1853,"path":1854,"stem":1855},"Масиви структур і вкладені структури","\u002Fcpp\u002Fstruct-arrays","02.cpp\u002F35.struct-arrays",{"title":1857,"path":1858,"stem":1859},"Патерни struct та межі застосування","\u002Fcpp\u002Fstruct-patterns","02.cpp\u002F36.struct-patterns",{"title":1861,"path":1862,"stem":1863},"Символи та таблиця ASCII","\u002Fcpp\u002Fascii-characters","02.cpp\u002F37.ascii-characters",{"title":1865,"path":1866,"stem":1867},"Unicode та кодування UTF","\u002Fcpp\u002Funicode-utf","02.cpp\u002F38.unicode-utf",{"title":1869,"path":1870,"stem":1871},"C-style рядки","\u002Fcpp\u002Fc-strings","02.cpp\u002F39.c-strings",{"title":1873,"path":1874,"stem":1875},"Вступ до std::string","\u002Fcpp\u002Fstd-string-intro","02.cpp\u002F40.std-string-intro",{"title":1877,"path":1878,"stem":1879},"Довжина, ємність та доступ до символів std::string","\u002Fcpp\u002Fstd-string-capacity-access","02.cpp\u002F41.std-string-capacity-access",{"title":1881,"path":1882,"stem":1883},"Модифікація std::string: присвоювання, додавання, вставка, видалення та заміна","\u002Fcpp\u002Fstd-string-modification","02.cpp\u002F42.std-string-modification",{"title":1885,"path":1886,"stem":1887},"Пошук у std::string: find, npos та практичні патерни","\u002Fcpp\u002Fstd-string-search","02.cpp\u002F43.std-string-search",{"title":1889,"path":1890,"stem":1891},"std::string_view: невласницький погляд на рядок без копіювання","\u002Fcpp\u002Fstd-string-view","02.cpp\u002F44.std-string-view",{"title":1893,"path":1894,"stem":1895},"Об'єднання (union): один блок пам'яті, кілька інтерпретацій","\u002Fcpp\u002Funion","02.cpp\u002F45.union",{"title":1897,"path":1898,"stem":1899},"Організація коду: файли, препроцесор, простори імен","\u002Fcpp\u002Fmultifile-programs","02.cpp\u002F46.multifile-programs",{"title":1901,"path":1902,"stem":1903},"Робота з файлами: C-стиль (stdio.h)","\u002Fcpp\u002Fc-style-files","02.cpp\u002F47.c-style-files",{"title":1905,"path":1906,"stem":1907},"Робота з файлами: C++-стиль (fstream)","\u002Fcpp\u002Fcpp-style-files","02.cpp\u002F48.cpp-style-files",{"title":1909,"path":1910,"stem":1911},"Введення в ООП: від процедур до об'єктів","\u002Fcpp\u002Foop-intro","02.cpp\u002F49.oop-intro",{"title":1913,"path":1914,"stem":1915},"Класи, об'єкти та методи","\u002Fcpp\u002Fclasses-objects-methods","02.cpp\u002F50.classes-objects-methods",{"title":1917,"path":1918,"stem":1919},"Специфікатори доступу та інкапсуляція","\u002Fcpp\u002Faccess-specifiers-encapsulation","02.cpp\u002F51.access-specifiers-encapsulation",{"title":1921,"path":1922,"stem":1923},"Конструктори: гарантована ініціалізація об'єктів","\u002Fcpp\u002Fconstructors","02.cpp\u002F52.constructors",{"title":1925,"path":1926,"stem":1927},"Списки ініціалізації та делегуючі конструктори","\u002Fcpp\u002Finit-lists-delegating","02.cpp\u002F53.init-lists-delegating",{"title":1929,"path":1930,"stem":1931},"Деструктори та ідіома RAII","\u002Fcpp\u002Fdestructors-raii","02.cpp\u002F54.destructors-raii",{"title":1933,"path":1934,"stem":1935},"Прихований покажчик this","\u002Fcpp\u002Fthis-pointer","02.cpp\u002F55.this-pointer",{"title":1937,"path":1938,"stem":1939},"Розподіл класу на заголовковий файл та файл реалізації","\u002Fcpp\u002Fclass-header-source","02.cpp\u002F56.class-header-source",{"title":1941,"path":1942,"stem":1943},"Класи та const","\u002Fcpp\u002Fconst-classes","02.cpp\u002F57.const-classes",{"title":1945,"path":1946,"stem":1947},"Статичні члени класу","\u002Fcpp\u002Fstatic-members","02.cpp\u002F58.static-members",{"title":1949,"path":1950,"stem":1951},"Конструктор копіювання та запобігання копіюванню","\u002Fcpp\u002Fcopy-constructor","02.cpp\u002F59.copy-constructor",{"title":1953,"path":1954,"stem":1955},"Дружні функції та класи","\u002Fcpp\u002Ffriend-functions-classes","02.cpp\u002F60.friend-functions-classes",{"title":1957,"path":1958,"stem":1959},"Анонімні об'єкти та вкладені типи","\u002Fcpp\u002Fanonymous-objects-nested-types","02.cpp\u002F61.anonymous-objects-nested-types",{"title":1961,"path":1962,"stem":1963},"Вимірювання часу виконання: RAII-таймер","\u002Fcpp\u002Ftiming-raii-timer","02.cpp\u002F62.timing-raii-timer",{"title":1965,"path":1966,"stem":1967},"Перевантаження операторів: основи та арифметика","\u002Fcpp\u002Foperator-overloading-basics","02.cpp\u002F63.operator-overloading-basics",{"title":1969,"path":1970,"stem":1971},"Перевантаження операторів: методи класу та спеціальні оператори","\u002Fcpp\u002Foperator-overloading-methods","02.cpp\u002F64.operator-overloading-methods",{"title":1973,"path":1974,"stem":1975},"Приведення типів, explicit та delete","\u002Fcpp\u002Ftypecast-explicit-delete","02.cpp\u002F65.typecast-explicit-delete",{"title":1977,"path":1978,"stem":1979},"Глибоке копіювання та оператор присвоювання","\u002Fcpp\u002Fdeep-copy-assignment","02.cpp\u002F66.deep-copy-assignment",{"title":1981,"path":1982,"stem":1983},"Зв'язки між об'єктами: композиція та агрегація","\u002Fcpp\u002Fcomposition-aggregation","02.cpp\u002F67.composition-aggregation",{"title":1985,"path":1986,"stem":1987},"Асоціація та залежність між об","\u002Fcpp\u002Fassociation-dependency","02.cpp\u002F68.association-dependency",{"title":1989,"path":1990,"stem":1991},"Контейнерні класи та `std::initializer_list`","\u002Fcpp\u002Fcontainer-classes-initializer-list","02.cpp\u002F69.container-classes-initializer-list",{"title":1993,"path":1994,"stem":1995},"Вступ до наслідування: базові поняття та відношення «is-a»","\u002Fcpp\u002Finheritance-intro","02.cpp\u002F70.inheritance-intro",{"title":1997,"path":1998,"stem":1999},"Конструктори, деструктори та порядок ініціалізації в ієрархіях","\u002Fcpp\u002Finheritance-constructors-destructors","02.cpp\u002F71.inheritance-constructors-destructors",{"title":2001,"path":2002,"stem":2003},"Специфікатор `protected` та види наслідування","\u002Fcpp\u002Finheritance-access-specifiers","02.cpp\u002F72.inheritance-access-specifiers",{"title":2005,"path":2006,"stem":2007},"Перевизначення методів та приховування імен","\u002Fcpp\u002Fmethod-overriding-hiding","02.cpp\u002F73.method-overriding-hiding",{"title":2009,"path":2010,"stem":2011},"Множинне наслідування та проблема ромба","\u002Fcpp\u002Fmultiple-inheritance-diamond","02.cpp\u002F74.multiple-inheritance-diamond",{"title":2013,"path":2014,"stem":2015},"Вказівники на базовий клас та віртуальні функції","\u002Fcpp\u002Fvirtual-functions-polymorphism","02.cpp\u002F75.virtual-functions-polymorphism",{"title":2017,"path":2018,"stem":2019},"Специфікатори override, final та віртуальні деструктори","\u002Fcpp\u002Foverride-final-virtual-destructors","02.cpp\u002F76.override-final-virtual-destructors",{"title":2021,"path":2022,"stem":2023},"Внутрішні механізми поліморфізму: vtable, vptr та зв'язування","\u002Fcpp\u002Fvirtual-table-binding","02.cpp\u002F77.virtual-table-binding",{"title":2025,"path":2026,"stem":2027},"Абстрактні класи та чисті віртуальні функції","\u002Fcpp\u002Fabstract-classes-interfaces","02.cpp\u002F78.abstract-classes-interfaces",{"title":2029,"path":2030,"stem":2031},"Зрізка об'єктів, віртуальне наслідування та поліморфний вивід","\u002Fcpp\u002Fslicing-virtual-base-io","02.cpp\u002F79.slicing-virtual-base-io",{"title":2033,"path":2034,"stem":2035},"Динамічне приведення типів (`dynamic_cast`) та RTTI","\u002Fcpp\u002Fdynamic-cast-rtti","02.cpp\u002F80.dynamic-cast-rtti",{"title":2037,"path":2038,"stem":2039},"Шаблони функцій: узагальнене програмування","\u002Fcpp\u002Ffunction-templates","02.cpp\u002F81.function-templates",{"title":2041,"path":2042,"stem":2043},"Шаблони класів та NTTP-параметри","\u002Fcpp\u002Fclass-templates-nttp","02.cpp\u002F82.class-templates-nttp",{"title":2045,"path":2046,"stem":2047},"Повна (явна) спеціалізація шаблонів","\u002Fcpp\u002Ffull-template-specialization","02.cpp\u002F83.full-template-specialization",{"title":2049,"path":2050,"stem":2051},"Часткова спеціалізація шаблонів класів","\u002Fcpp\u002Fpartial-template-specialization","02.cpp\u002F84.partial-template-specialization",{"title":2053,"path":2054,"stem":2055},"Механізм винятків: try, catch, throw та розкручування стеку","\u002Fcpp\u002Fexceptions-basics","02.cpp\u002F85.exceptions-basics",{"title":2057,"path":2058,"stem":2059},"Ієрархія std::exception та власні класи винятків","\u002Fcpp\u002Fexception-hierarchy-custom","02.cpp\u002F86.exception-hierarchy-custom",{"title":2061,"path":2062,"stem":2063},"Повторне генерування винятків та функціональний try-блок","\u002Fcpp\u002Frethrow-function-try","02.cpp\u002F87.rethrow-function-try",{"title":2065,"path":2066,"stem":2067},"Безпека винятків, noexcept та деструктори","\u002Fcpp\u002Fsafety-noexcept","02.cpp\u002F88.safety-noexcept",{"title":2069,"path":2070,"stem":2071},"Стаття 89 — Власні структури даних: стек та черга","\u002Fcpp\u002Fcustom-stack-queue","02.cpp\u002F89.custom-stack-queue",{"title":2073,"path":2074,"stem":2075},"Стаття 90 — Власні структури даних: однозв'язаний список","\u002Fcpp\u002Flinked-list","02.cpp\u002F90.linked-list",{"title":2077,"path":2078,"stem":2079},"Стаття 91 — Власні структури даних: бінарне дерево пошуку","\u002Fcpp\u002Fbinary-search-tree","02.cpp\u002F91.binary-search-tree",{"title":2081,"path":2082,"stem":2083},"Стаття 92 — Власні структури даних: хеш-таблиця","\u002Fcpp\u002Fhash-table","02.cpp\u002F92.hash-table",{"title":2085,"icon":2086,"path":2087,"stem":2088,"children":2089,"page":59},"JavaScript","i-devicon-javascript","\u002Fjavascript","03.javascript",[2090,2116,2170,2192,2496,2534,2552],{"title":2091,"icon":2092,"path":2093,"stem":2094,"children":2095,"page":59},"Events","i-lucide-mouse-pointer-click","\u002Fjavascript\u002Fevents","03.javascript\u002F01.events",[2096,2100,2104,2108,2112],{"title":2097,"path":2098,"stem":2099},"Вступ до подій браузера","\u002Fjavascript\u002Fevents\u002Fintro","03.javascript\u002F01.events\u002F01.intro",{"title":2101,"path":2102,"stem":2103},"Бульбашковий механізм (Bubbling) та занурення (Capturing)","\u002Fjavascript\u002Fevents\u002Fbubbling-capturing","03.javascript\u002F01.events\u002F02.bubbling-capturing",{"title":2105,"path":2106,"stem":2107},"Делегування подій (Event Delegation)","\u002Fjavascript\u002Fevents\u002Fdelegate-events","03.javascript\u002F01.events\u002F03.delegate-events",{"title":2109,"path":2110,"stem":2111},"Типові дії браузера та preventDefault()","\u002Fjavascript\u002Fevents\u002Fprevent-default","03.javascript\u002F01.events\u002F04.prevent-default",{"title":2113,"path":2114,"stem":2115},"Запуск користувацьких подій (Custom Events)","\u002Fjavascript\u002Fevents\u002Fcustom-events","03.javascript\u002F01.events\u002F05.custom-events",{"title":2117,"icon":2118,"path":2119,"stem":2120,"children":2121,"page":59},"Network","i-lucide-globe","\u002Fjavascript\u002Fnetwork","03.javascript\u002F02.network",[2122,2126,2130,2134,2138,2142,2146,2150,2154,2158,2162,2166],{"title":2123,"path":2124,"stem":2125},"Fetch API - Сучасний підхід до HTTP-запитів","\u002Fjavascript\u002Fnetwork\u002F01-fetch-api","03.javascript\u002F02.network\u002F01-fetch-api",{"title":2127,"path":2128,"stem":2129},"FormData - Робота з формами та файлами","\u002Fjavascript\u002Fnetwork\u002F02-formdata","03.javascript\u002F02.network\u002F02-formdata",{"title":2131,"path":2132,"stem":2133},"Відстеження прогресу завантаження","\u002Fjavascript\u002Fnetwork\u002F03-download-progress","03.javascript\u002F02.network\u002F03-download-progress",{"title":2135,"path":2136,"stem":2137},"Переривання fetch-запитів","\u002Fjavascript\u002Fnetwork\u002F04-abort-requests","03.javascript\u002F02.network\u002F04-abort-requests",{"title":2139,"path":2140,"stem":2141},"CORS - Запити між різними джерелами","\u002Fjavascript\u002Fnetwork\u002F05-cors","03.javascript\u002F02.network\u002F05-cors",{"title":2143,"path":2144,"stem":2145},"Fetch API - Повний довідник опцій","\u002Fjavascript\u002Fnetwork\u002F06-fetch-options","03.javascript\u002F02.network\u002F06-fetch-options",{"title":2147,"path":2148,"stem":2149},"URL Objects - Робота з посиланнями","\u002Fjavascript\u002Fnetwork\u002F07-url-objects","03.javascript\u002F02.network\u002F07-url-objects",{"title":2151,"path":2152,"stem":2153},"XMLHttpRequest - AJAX та низькорівневі запити","\u002Fjavascript\u002Fnetwork\u002F08-xmlhttprequest","03.javascript\u002F02.network\u002F08-xmlhttprequest",{"title":2155,"path":2156,"stem":2157},"Відновлюване завантаження файлів","\u002Fjavascript\u002Fnetwork\u002F09-resumable-upload","03.javascript\u002F02.network\u002F09-resumable-upload",{"title":2159,"path":2160,"stem":2161},"Cookies, document.cookie та світ після \"Cookiepocalypse\"","\u002Fjavascript\u002Fnetwork\u002F10-cookies","03.javascript\u002F02.network\u002F10-cookies",{"title":2163,"path":2164,"stem":2165},"js-cookie: Керування Cookies без Болю","\u002Fjavascript\u002Fnetwork\u002F11-js-cookie","03.javascript\u002F02.network\u002F11-js-cookie",{"title":2167,"path":2168,"stem":2169},"Axios: Потужний HTTP-клієнт для JavaScript","\u002Fjavascript\u002Fnetwork\u002F12-axios","03.javascript\u002F02.network\u002F12-axios",{"title":2171,"icon":2172,"path":2173,"stem":2174,"children":2175,"page":59},"Bom","i-lucide-monitor","\u002Fjavascript\u002Fbom","03.javascript\u002F03.bom",[2176,2180,2184,2188],{"title":2177,"path":2178,"stem":2179},"LocalStorage, SessionStorage та patterns збереження даних","\u002Fjavascript\u002Fbom\u002F01-localstorage","03.javascript\u002F03.bom\u002F01-localstorage",{"title":2181,"path":2182,"stem":2183},"Location Object - Керування адресою сторінки","\u002Fjavascript\u002Fbom\u002F02-location-object","03.javascript\u002F03.bom\u002F02-location-object",{"title":2185,"path":2186,"stem":2187},"History API - Керування історією браузера","\u002Fjavascript\u002Fbom\u002F03-history-api","03.javascript\u002F03.bom\u002F03-history-api",{"title":2189,"path":2190,"stem":2191},"Navigator Object - Ідентифікація та Можливості Пристрою","\u002Fjavascript\u002Fbom\u002F04-navigator-object","03.javascript\u002F03.bom\u002F04-navigator-object",{"title":2193,"icon":2194,"path":2195,"stem":2196,"children":2197},"React","i-devicon-react","\u002Fjavascript\u002Freact","03.javascript\u002F04.react\u002Findex",[2198,2199,2203,2207,2211,2215,2278,2313,2465],{"title":2193,"path":2195,"stem":2196},{"title":2200,"path":2201,"stem":2202},"Робота з Формами в React","\u002Fjavascript\u002Freact\u002Freact-forms","03.javascript\u002F04.react\u002F01.react-forms",{"title":2204,"path":2205,"stem":2206},"React Hook Form: Професійна Робота з Формами","\u002Fjavascript\u002Freact\u002Freact-hook-form","03.javascript\u002F04.react\u002F02.react-hook-form",{"title":2208,"path":2209,"stem":2210},"React Hook Form: Глибоке Розуміння Архітектури та Оптимізації","\u002Fjavascript\u002Freact\u002Freact-hook-form-new","03.javascript\u002F04.react\u002F02.react-hook-form-new",{"title":2212,"path":2213,"stem":2214},"Axios та React: Професійна Архітектура Запитів","\u002Fjavascript\u002Freact\u002Fdata-fetching-axios","03.javascript\u002F04.react\u002F03.data-fetching-axios",{"title":2216,"icon":132,"path":2217,"stem":2218,"children":2219},"Tanstack Query","\u002Fjavascript\u002Freact\u002Ftanstack-query","03.javascript\u002F04.react\u002F04.tanstack-query\u002Findex",[2220,2222,2226,2230,2234,2238,2242,2246,2250,2254,2258,2262,2266,2270,2274],{"title":2221,"path":2217,"stem":2218},"TanStack Query: Майстерність Керування Станом Сервера",{"title":2223,"path":2224,"stem":2225},"Парадигма Server State: Чому useEffect недостатньо","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Fserver-state-paradigm","03.javascript\u002F04.react\u002F04.tanstack-query\u002F01.server-state-paradigm",{"title":2227,"path":2228,"stem":2229},"Встановлення та Налаштування: Фундамент","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Finstallation-and-devtools","03.javascript\u002F04.react\u002F04.tanstack-query\u002F02.installation-and-devtools",{"title":2231,"path":2232,"stem":2233},"Основи Запитів та Магія Ключів","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Fquery-basics-and-keys","03.javascript\u002F04.react\u002F04.tanstack-query\u002F03.query-basics-and-keys",{"title":2235,"path":2236,"stem":2237},"Синхронізація Даних: Життєвий Цикл Запиту","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Fdata-synchronization","03.javascript\u002F04.react\u002F04.tanstack-query\u002F04.data-synchronization",{"title":2239,"path":2240,"stem":2241},"Мутації та Інвалідація: Зміна Даних","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Fmutations-and-invalidation","03.javascript\u002F04.react\u002F04.tanstack-query\u002F05.mutations-and-invalidation",{"title":2243,"path":2244,"stem":2245},"Оптимістичні Оновлення: Швидше за Світло","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Foptimistic-updates","03.javascript\u002F04.react\u002F04.tanstack-query\u002F06.optimistic-updates",{"title":2247,"path":2248,"stem":2249},"Пагінація та Infinite Scroll","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Fpagination-and-load-more","03.javascript\u002F04.react\u002F04.tanstack-query\u002F07.pagination-and-load-more",{"title":2251,"path":2252,"stem":2253},"Просунуті Патерни та Оптимізація","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Fadvanced-patterns","03.javascript\u002F04.react\u002F04.tanstack-query\u002F08.advanced-patterns",{"title":2255,"path":2256,"stem":2257},"Архітектура та Best Practices","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Farchitecture-and-best-practices","03.javascript\u002F04.react\u002F04.tanstack-query\u002F09.architecture-and-best-practices",{"title":2259,"path":2260,"stem":2261},"Server-Side Rendering (SSR) та Гідратація","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Fserver-side-rendering","03.javascript\u002F04.react\u002F04.tanstack-query\u002F10.server-side-rendering",{"title":2263,"path":2264,"stem":2265},"Стратегії Тестування","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Ftesting-strategies","03.javascript\u002F04.react\u002F04.tanstack-query\u002F11.testing-strategies",{"title":2267,"path":2268,"stem":2269},"Аутентифікація та Обробка Помилок","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Fauthentication-and-errors","03.javascript\u002F04.react\u002F04.tanstack-query\u002F12.authentication-and-errors",{"title":2271,"path":2272,"stem":2273},"React Suspense та Майбутнє","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Freact-suspense","03.javascript\u002F04.react\u002F04.tanstack-query\u002F13.react-suspense",{"title":2275,"path":2276,"stem":2277},"Глибоке Занурення в Продуктивність","\u002Fjavascript\u002Freact\u002Ftanstack-query\u002Fperformance-deep-dive","03.javascript\u002F04.react\u002F04.tanstack-query\u002F14.performance-deep-dive",{"title":2279,"icon":2194,"path":2280,"stem":2281,"children":2282},"React Router","\u002Fjavascript\u002Freact\u002Freact-router","03.javascript\u002F04.react\u002F05.react-router\u002Findex",[2283,2285,2289,2293,2297,2301,2305,2309],{"title":2284,"path":2280,"stem":2281},"React Router: Навігаційна система сучасного вебу",{"title":2286,"path":2287,"stem":2288},"Налаштування та Базовий Роутинг","\u002Fjavascript\u002Freact\u002Freact-router\u002Fsetup-and-basic-routing","03.javascript\u002F04.react\u002F05.react-router\u002F01.setup-and-basic-routing",{"title":2290,"path":2291,"stem":2292},"Динамічна Навігація","\u002Fjavascript\u002Freact\u002Freact-router\u002Fnavigation-and-links","03.javascript\u002F04.react\u002F05.react-router\u002F02.navigation-and-links",{"title":2294,"path":2295,"stem":2296},"Вкладені Маршрути та Макети","\u002Fjavascript\u002Freact\u002Freact-router\u002Fnested-routes-and-layouts","03.javascript\u002F04.react\u002F05.react-router\u002F03.nested-routes-and-layouts",{"title":2298,"path":2299,"stem":2300},"Динамічні Маршрути та Параметри","\u002Fjavascript\u002Freact\u002Freact-router\u002Fdynamic-routing","03.javascript\u002F04.react\u002F05.react-router\u002F04.dynamic-routing",{"title":2302,"path":2303,"stem":2304},"Data APIs: Loaders та Actions","\u002Fjavascript\u002Freact\u002Freact-router\u002Fdata-loading","03.javascript\u002F04.react\u002F05.react-router\u002F05.data-loading",{"title":2306,"path":2307,"stem":2308},"Просунуті Патерни","\u002Fjavascript\u002Freact\u002Freact-router\u002Fadvanced-patterns","03.javascript\u002F04.react\u002F05.react-router\u002F06.advanced-patterns",{"title":2310,"path":2311,"stem":2312},"Legacy Routing: Компонентний підхід","\u002Fjavascript\u002Freact\u002Freact-router\u002Flegacy-routing","03.javascript\u002F04.react\u002F05.react-router\u002F07.legacy-routing",{"title":2314,"icon":132,"path":2315,"stem":2316,"children":2317},"Redux","\u002Fjavascript\u002Freact\u002Fredux","03.javascript\u002F04.react\u002F06.redux\u002Findex",[2318,2320,2336,2365,2374,2395,2411,2440],{"title":2319,"path":2315,"stem":2316},"Redux: Еволюція управління станом",{"title":14,"icon":15,"path":2321,"stem":2322,"children":2323,"page":59},"\u002Fjavascript\u002Freact\u002Fredux\u002Ffundamentals","03.javascript\u002F04.react\u002F06.redux\u002F01.fundamentals",[2324,2328,2332],{"title":2325,"path":2326,"stem":2327},"Вступ до State Management","\u002Fjavascript\u002Freact\u002Fredux\u002Ffundamentals\u002Fintro-state-management","03.javascript\u002F04.react\u002F06.redux\u002F01.fundamentals\u002F01.intro-state-management",{"title":2329,"path":2330,"stem":2331},"Філософія Redux та Три Принципи","\u002Fjavascript\u002Freact\u002Fredux\u002Ffundamentals\u002Fredux-philosophy","03.javascript\u002F04.react\u002F06.redux\u002F01.fundamentals\u002F02.redux-philosophy",{"title":2333,"path":2334,"stem":2335},"Чисті функції та Іммутабельність","\u002Fjavascript\u002Freact\u002Fredux\u002Ffundamentals\u002Fpure-functions-immutability","03.javascript\u002F04.react\u002F06.redux\u002F01.fundamentals\u002F03.pure-functions-immutability",{"title":2337,"icon":132,"path":2338,"stem":2339,"children":2340,"page":59},"Classic Redux","\u002Fjavascript\u002Freact\u002Fredux\u002Fclassic-redux","03.javascript\u002F04.react\u002F06.redux\u002F02.classic-redux",[2341,2345,2349,2353,2357,2361],{"title":2342,"path":2343,"stem":2344},"Створення Store (Classic Redux)","\u002Fjavascript\u002Freact\u002Fredux\u002Fclassic-redux\u002Fstore-setup","03.javascript\u002F04.react\u002F06.redux\u002F02.classic-redux\u002F01.store-setup",{"title":2346,"path":2347,"stem":2348},"Actions, Constants та Action Creators","\u002Fjavascript\u002Freact\u002Fredux\u002Fclassic-redux\u002Factions-constants","03.javascript\u002F04.react\u002F06.redux\u002F02.classic-redux\u002F02.actions-constants",{"title":2350,"path":2351,"stem":2352},"Логіка Reducers","\u002Fjavascript\u002Freact\u002Fredux\u002Fclassic-redux\u002Freducers","03.javascript\u002F04.react\u002F06.redux\u002F02.classic-redux\u002F03.reducers",{"title":2354,"path":2355,"stem":2356},"Комбінування Reducers (Root Reducer)","\u002Fjavascript\u002Freact\u002Fredux\u002Fclassic-redux\u002Fdata-flow","03.javascript\u002F04.react\u002F06.redux\u002F02.classic-redux\u002F04.data-flow",{"title":2358,"path":2359,"stem":2360},"Підключення до React (React-Redux)","\u002Fjavascript\u002Freact\u002Fredux\u002Fclassic-redux\u002Freact-redux-connection","03.javascript\u002F04.react\u002F06.redux\u002F02.classic-redux\u002F05.react-redux-connection",{"title":2362,"path":2363,"stem":2364},"Middleware та Асинхронність (Redux Thunk)","\u002Fjavascript\u002Freact\u002Fredux\u002Fclassic-redux\u002Fmiddleware-thunk","03.javascript\u002F04.react\u002F06.redux\u002F02.classic-redux\u002F06.middleware-thunk",{"title":2366,"icon":132,"path":2367,"stem":2368,"children":2369,"page":59},"Transition To Rtk","\u002Fjavascript\u002Freact\u002Fredux\u002Ftransition-to-rtk","03.javascript\u002F04.react\u002F06.redux\u002F03.transition-to-rtk",[2370],{"title":2371,"path":2372,"stem":2373},"Проблеми класичного Redux","\u002Fjavascript\u002Freact\u002Fredux\u002Ftransition-to-rtk\u002Fproblems-with-classic","03.javascript\u002F04.react\u002F06.redux\u002F03.transition-to-rtk\u002F01.problems-with-classic",{"title":2375,"icon":132,"path":2376,"stem":2377,"children":2378,"page":59},"Redux Toolkit","\u002Fjavascript\u002Freact\u002Fredux\u002Fredux-toolkit","03.javascript\u002F04.react\u002F06.redux\u002F04.redux-toolkit",[2379,2383,2387,2391],{"title":2380,"path":2381,"stem":2382},"Налаштування Store з configureStore","\u002Fjavascript\u002Freact\u002Fredux\u002Fredux-toolkit\u002Fconfigure-store","03.javascript\u002F04.react\u002F06.redux\u002F04.redux-toolkit\u002F01.configure-store",{"title":2384,"path":2385,"stem":2386},"createSlice: Революція в Redux","\u002Fjavascript\u002Freact\u002Fredux\u002Fredux-toolkit\u002Fcreate-slice","03.javascript\u002F04.react\u002F06.redux\u002F04.redux-toolkit\u002F02.create-slice",{"title":2388,"path":2389,"stem":2390},"Асинхронність з createAsyncThunk","\u002Fjavascript\u002Freact\u002Fredux\u002Fredux-toolkit\u002Fasync-thunks","03.javascript\u002F04.react\u002F06.redux\u002F04.redux-toolkit\u002F03.async-thunks",{"title":2392,"path":2393,"stem":2394},"04. Entity Adapter: Керування нормалізованим станом","\u002Fjavascript\u002Freact\u002Fredux\u002Fredux-toolkit\u002Fentity-adapter","03.javascript\u002F04.react\u002F06.redux\u002F04.redux-toolkit\u002F04.entity-adapter",{"title":2396,"icon":92,"path":2397,"stem":2398,"children":2399,"page":59},"Advanced","\u002Fjavascript\u002Freact\u002Fredux\u002Fadvanced","03.javascript\u002F04.react\u002F06.redux\u002F05.advanced",[2400,2404,2408],{"title":2401,"path":2402,"stem":2403},"Мемоізація та Селектори: Повний Гайд по Reselect","\u002Fjavascript\u002Freact\u002Fredux\u002Fadvanced\u002Fselectors-reselect","03.javascript\u002F04.react\u002F06.redux\u002F05.advanced\u002F01.selectors-reselect",{"title":2405,"path":2406,"stem":2407},"RTK Query: Архітектура Серверного Кешу","\u002Fjavascript\u002Freact\u002Fredux\u002Fadvanced\u002Frtk-query-intro","03.javascript\u002F04.react\u002F06.redux\u002F05.advanced\u002F02.rtk-query-intro",{"title":2255,"path":2409,"stem":2410},"\u002Fjavascript\u002Freact\u002Fredux\u002Fadvanced\u002Farchitecture-best-practices","03.javascript\u002F04.react\u002F06.redux\u002F05.advanced\u002F03.architecture-best-practices",{"title":2412,"icon":132,"path":2413,"stem":2414,"children":2415,"page":59},"Project Kanban","\u002Fjavascript\u002Freact\u002Fredux\u002Fproject-kanban","03.javascript\u002F04.react\u002F06.redux\u002F06.project-kanban",[2416,2420,2424,2428,2432,2436],{"title":2417,"path":2418,"stem":2419},"Проєкт: Kanban Board (Trello Clone)","\u002Fjavascript\u002Freact\u002Fredux\u002Fproject-kanban\u002Fproject-overview","03.javascript\u002F04.react\u002F06.redux\u002F06.project-kanban\u002F01.project-overview",{"title":2421,"path":2422,"stem":2423},"Налаштування та Типізація","\u002Fjavascript\u002Freact\u002Fredux\u002Fproject-kanban\u002Fsetup-and-types","03.javascript\u002F04.react\u002F06.redux\u002F06.project-kanban\u002F02.setup-and-types",{"title":2425,"path":2426,"stem":2427},"Board Slice: Серце Дошки","\u002Fjavascript\u002Freact\u002Fredux\u002Fproject-kanban\u002Fboard-slice","03.javascript\u002F04.react\u002F06.redux\u002F06.project-kanban\u002F03.board-slice",{"title":2429,"path":2430,"stem":2431},"Логіка Drag & Drop","\u002Fjavascript\u002Freact\u002Fredux\u002Fproject-kanban\u002Fdrag-and-drop-logic","03.javascript\u002F04.react\u002F06.redux\u002F06.project-kanban\u002F04.drag-and-drop-logic",{"title":2433,"path":2434,"stem":2435},"Інтеграція з RTK Query","\u002Fjavascript\u002Freact\u002Fredux\u002Fproject-kanban\u002Frtk-query-integration","03.javascript\u002F04.react\u002F06.redux\u002F06.project-kanban\u002F05.rtk-query-integration",{"title":2437,"path":2438,"stem":2439},"Optimistic Updates","\u002Fjavascript\u002Freact\u002Fredux\u002Fproject-kanban\u002Foptimistic-updates","03.javascript\u002F04.react\u002F06.redux\u002F06.project-kanban\u002F06.optimistic-updates",{"title":2441,"icon":132,"path":2442,"stem":2443,"children":2444,"page":59},"Testing","\u002Fjavascript\u002Freact\u002Fredux\u002Ftesting","03.javascript\u002F04.react\u002F06.redux\u002F07.testing",[2445,2449,2453,2457,2461],{"title":2446,"path":2447,"stem":2448},"Тестування Redux","\u002Fjavascript\u002Freact\u002Fredux\u002Ftesting\u002Fintro-testing","03.javascript\u002F04.react\u002F06.redux\u002F07.testing\u002F01.intro-testing",{"title":2450,"path":2451,"stem":2452},"Тестування Reducers","\u002Fjavascript\u002Freact\u002Fredux\u002Ftesting\u002Ftesting-reducers","03.javascript\u002F04.react\u002F06.redux\u002F07.testing\u002F02.testing-reducers",{"title":2454,"path":2455,"stem":2456},"Тестування Селекторів","\u002Fjavascript\u002Freact\u002Fredux\u002Ftesting\u002Ftesting-selectors","03.javascript\u002F04.react\u002F06.redux\u002F07.testing\u002F03.testing-selectors",{"title":2458,"path":2459,"stem":2460},"Тестування Компонентів (Integration)","\u002Fjavascript\u002Freact\u002Fredux\u002Ftesting\u002Ftesting-components","03.javascript\u002F04.react\u002F06.redux\u002F07.testing\u002F04.testing-components",{"title":2462,"path":2463,"stem":2464},"Тестування Async Thunks","\u002Fjavascript\u002Freact\u002Fredux\u002Ftesting\u002Ftesting-thunks","03.javascript\u002F04.react\u002F06.redux\u002F07.testing\u002F05.testing-thunks",{"title":2466,"icon":132,"path":2467,"stem":2468,"children":2469},"Ui Libraries","\u002Fjavascript\u002Freact\u002Fui-libraries","03.javascript\u002F04.react\u002F07.ui-libraries\u002Findex",[2470,2472,2476,2480,2484,2488,2492],{"title":2471,"path":2467,"stem":2468},"UI Бібліотеки в React",{"title":2473,"path":2474,"stem":2475},"Вступ до UI Бібліотек: Навіщо Винаходити Велосипед Двічі?","\u002Fjavascript\u002Freact\u002Fui-libraries\u002Fintroduction-to-ui-libraries","03.javascript\u002F04.react\u002F07.ui-libraries\u002F01.introduction-to-ui-libraries",{"title":2477,"path":2478,"stem":2479},"Філософія shadcn\u002Fui: \"Not a Component Library\"","\u002Fjavascript\u002Freact\u002Fui-libraries\u002Fshadcn-philosophy","03.javascript\u002F04.react\u002F07.ui-libraries\u002F02.shadcn-philosophy",{"title":2481,"path":2482,"stem":2483},"Установка та Налаштування shadcn\u002Fui","\u002Fjavascript\u002Freact\u002Fui-libraries\u002Fshadcn-installation","03.javascript\u002F04.react\u002F07.ui-libraries\u002F03.shadcn-installation",{"title":2485,"path":2486,"stem":2487},"Базові Компоненти shadcn\u002Fui: Фундамент Інтерфейсу","\u002Fjavascript\u002Freact\u002Fui-libraries\u002Fshadcn-components-basics","03.javascript\u002F04.react\u002F07.ui-libraries\u002F04.shadcn-components-basics",{"title":2489,"path":2490,"stem":2491},"Компоненти Форм: Побудова Інтерактивних Form","\u002Fjavascript\u002Freact\u002Fui-libraries\u002Fshadcn-components-forms","03.javascript\u002F04.react\u002F07.ui-libraries\u002F05.shadcn-components-forms",{"title":2493,"path":2494,"stem":2495},"Складні Компоненти: Dialog, Dropdown, Table та Command","\u002Fjavascript\u002Freact\u002Fui-libraries\u002Fshadcn-components-advanced","03.javascript\u002F04.react\u002F07.ui-libraries\u002F06.shadcn-components-advanced",{"title":2497,"icon":2498,"path":2499,"stem":2500,"children":2501,"page":59},"TypeScript","i-devicon-typescript","\u002Fjavascript\u002Ftypescript","03.javascript\u002F05.typescript",[2502,2506,2510,2514,2518,2522,2526,2530],{"title":2503,"path":2504,"stem":2505},"TypeScript: Броня для вашого коду","\u002Fjavascript\u002Ftypescript\u002Fintro-and-basic-types","03.javascript\u002F05.typescript\u002F01.intro-and-basic-types",{"title":2507,"path":2508,"stem":2509},"Майстерність Моделювання Даних: Інтерфейси та Просунуті Типи","\u002Fjavascript\u002Ftypescript\u002Finterfaces-and-advanced-types","03.javascript\u002F05.typescript\u002F02.interfaces-and-advanced-types",{"title":2511,"path":2512,"stem":2513},"Алхімія Типів: Generics та Utility Types","\u002Fjavascript\u002Ftypescript\u002Fgenerics-and-utilities","03.javascript\u002F05.typescript\u002F03.generics-and-utilities",{"title":2515,"path":2516,"stem":2517},"Архітектура та Шаблони: Класи в TypeScript","\u002Fjavascript\u002Ftypescript\u002Fclasses-and-oop","03.javascript\u002F05.typescript\u002F04.classes-and-oop",{"title":2519,"path":2520,"stem":2521},"Продакшн та Екосистема: Advanced Config & Workflow","\u002Fjavascript\u002Ftypescript\u002Fadvanced-patterns-and-config","03.javascript\u002F05.typescript\u002F05.advanced-patterns-and-config",{"title":2523,"path":2524,"stem":2525},"TypeScript у світі React","\u002Fjavascript\u002Ftypescript\u002Freact-basics","03.javascript\u002F05.typescript\u002F06.react-basics",{"title":2527,"path":2528,"stem":2529},"React + TypeScript: Продвинуті патерни","\u002Fjavascript\u002Ftypescript\u002Freact-advanced","03.javascript\u002F05.typescript\u002F07.react-advanced",{"title":2531,"path":2532,"stem":2533},"React + TypeScript: Екосистема та бібліотеки","\u002Fjavascript\u002Ftypescript\u002Freact-ecosystem","03.javascript\u002F05.typescript\u002F08.react-ecosystem",{"title":2535,"icon":2536,"path":2537,"stem":2538,"children":2539,"page":59},"Асинхронність","i-lucide-refresh-cw","\u002Fjavascript\u002Fasync-programming","03.javascript\u002F06.async-programming",[2540,2544,2548],{"title":2541,"path":2542,"stem":2543},"Event Loop: серце асинхронності в JavaScript","\u002Fjavascript\u002Fasync-programming\u002Fevent-loop-fundamentals","03.javascript\u002F06.async-programming\u002F01.event-loop-fundamentals",{"title":2545,"path":2546,"stem":2547},"Task Queue та Microtask Queue: пріоритети виконання","\u002Fjavascript\u002Fasync-programming\u002Ftask-queues","03.javascript\u002F06.async-programming\u002F02.task-queues",{"title":2549,"path":2550,"stem":2551},"Асинхронні патерни: від Callbacks до Async\u002FAwait","\u002Fjavascript\u002Fasync-programming\u002Fasync-patterns","03.javascript\u002F06.async-programming\u002F03.async-patterns",{"title":2553,"path":2554,"stem":2555},"Atomic Design","\u002Fjavascript\u002Fatomic-design","03.javascript\u002F2.atomic-design",{"title":2557,"icon":2558,"path":2559,"stem":2560,"children":2561,"page":59},"Java","i-devicon-java","\u002Fjava","04.java",[2562,2565,2568,2572,2576,2580,2584],{"title":162,"path":2563,"stem":2564},"\u002Fjava\u002Fdata-mapper-part1","04.java\u002F01.data-mapper-part1",{"title":166,"path":2566,"stem":2567},"\u002Fjava\u002Fdata-mapper-part2","04.java\u002F02.data-mapper-part2",{"title":2569,"path":2570,"stem":2571},"Service Layer: Організація бізнес-логіки","\u002Fjava\u002Fservice-layer","04.java\u002F03.service-layer",{"title":2573,"path":2574,"stem":2575},"Rich Domain Model та State Pattern","\u002Fjava\u002Frich-domain-model","04.java\u002F04.rich-domain-model",{"title":2577,"path":2578,"stem":2579},"Патерни для складної бізнес-логіки","\u002Fjava\u002Fbusiness-logic-patterns","04.java\u002F05.business-logic-patterns",{"title":2581,"path":2582,"stem":2583},"Обробка помилок та валідація","\u002Fjava\u002Ferror-handling-validation","04.java\u002F06.error-handling-validation",{"title":2585,"path":2586,"stem":2587,"children":2588,"page":59},"Проектування баз даних","\u002Fjava\u002Fpr2","04.java\u002Fpr2",[2589,2593,2597,2601,2605,2609,2613,2617,2621,2625,2629,2633,2637,2641,2645,2649,2653,2657,2661,2665,2669,2673,2677,2681,2685,2689,2693,2697,2701,2705,2709,2713,2717,2721,2725,2729,2733],{"title":2590,"path":2591,"stem":2592},"Концептуальне моделювання: Мистецтво розуміння предметної області","\u002Fjava\u002Fpr2\u002Fconceptual-modeling","04.java\u002Fpr2\u002F01.conceptual-modeling",{"title":2594,"path":2595,"stem":2596},"Логічне моделювання: Від бізнес-ідей до структур даних","\u002Fjava\u002Fpr2\u002Flogical-modeling","04.java\u002Fpr2\u002F02.logical-modeling",{"title":2598,"path":2599,"stem":2600},"Нормалізація: Гігієна даних та боротьба з аномаліями","\u002Fjava\u002Fpr2\u002Fnormalization","04.java\u002Fpr2\u002F03.normalization",{"title":2602,"path":2603,"stem":2604},"Фізична схема: Від абстракції до DDL","\u002Fjava\u002Fpr2\u002Fphysical-schema","04.java\u002Fpr2\u002F04.physical-schema",{"title":2606,"path":2607,"stem":2608},"Архітектурна класифікація таблиць","\u002Fjava\u002Fpr2\u002Ftable-classification","04.java\u002Fpr2\u002F05.table-classification",{"title":2610,"path":2611,"stem":2612},"Database Migrations: Версіонування схеми з Flyway","\u002Fjava\u002Fpr2\u002Fdatabase-migrations","04.java\u002Fpr2\u002F06.database-migrations",{"title":2614,"path":2615,"stem":2616},"А що, якби це була не реляційна БД?","\u002Fjava\u002Fpr2\u002Fbeyond-relational","04.java\u002Fpr2\u002F07.beyond-relational",{"title":2618,"path":2619,"stem":2620},"Object-Relational Impedance Mismatch: Два світи, що не хочуть дружити","\u002Fjava\u002Fpr2\u002Fimpedance-mismatch","04.java\u002Fpr2\u002F09.impedance-mismatch",{"title":2622,"path":2623,"stem":2624},"JDBC: Перший контакт із базою даних","\u002Fjava\u002Fpr2\u002Fjdbc-fundamentals","04.java\u002Fpr2\u002F10.jdbc-fundamentals",{"title":2626,"path":2627,"stem":2628},"Якість коду: Spotless, SpotBugs та SonarQube","\u002Fjava\u002Fpr2\u002F10a.code-quality","04.java\u002Fpr2\u002F10a.code-quality",{"title":2630,"path":2631,"stem":2632},"Connection Pool: Патерн Object Pool для JDBC-з'єднань","\u002Fjava\u002Fpr2\u002Fconnection-pool","04.java\u002Fpr2\u002F11.connection-pool",{"title":2634,"path":2635,"stem":2636},"Row Data Gateway: Об'єкт як обгортка рядка таблиці","\u002Fjava\u002Fpr2\u002Frow-data-gateway","04.java\u002Fpr2\u002F12.row-data-gateway",{"title":2638,"path":2639,"stem":2640},"Table Data Gateway: Фасад таблиці як архітектурний відступ","\u002Fjava\u002Fpr2\u002Ftable-data-gateway","04.java\u002Fpr2\u002F13.table-data-gateway",{"title":2642,"path":2643,"stem":2644},"Repository + Data Mapper: Правильна шарова архітектура з JDBC","\u002Fjava\u002Fpr2\u002Frepository-data-mapper","04.java\u002Fpr2\u002F14.repository-data-mapper",{"title":2646,"path":2647,"stem":2648},"Identity Map: Кешування сутностей у рамках сесії","\u002Fjava\u002Fpr2\u002Fidentity-map","04.java\u002Fpr2\u002F15.identity-map",{"title":2650,"path":2651,"stem":2652},"Unit of Work: Відстеження змін і координація JDBC-транзакцій","\u002Fjava\u002Fpr2\u002Funit-of-work","04.java\u002Fpr2\u002F16.unit-of-work",{"title":2654,"path":2655,"stem":2656},"Strategy: Замінювані SQL-стратегії для підтримки різних СУБД","\u002Fjava\u002Fpr2\u002Fstrategy-sql","04.java\u002Fpr2\u002F17.strategy-sql",{"title":2658,"path":2659,"stem":2660},"Proxy: Lazy Loading для One-To-Many колекцій","\u002Fjava\u002Fpr2\u002Fproxy-lazy-loading","04.java\u002Fpr2\u002F18.proxy-lazy-loading",{"title":2662,"path":2663,"stem":2664},"Generic Repository через Java Reflection: анотації та динамічний SQL","\u002Fjava\u002Fpr2\u002Fgeneric-repository-reflection","04.java\u002Fpr2\u002F19.generic-repository-reflection",{"title":2666,"path":2667,"stem":2668},"Specification Pattern: Композиція бізнес-правил для складних запитів","\u002Fjava\u002Fpr2\u002Fspecification-pattern","04.java\u002Fpr2\u002F20.specification-pattern",{"title":2670,"path":2671,"stem":2672},"Розширені можливості Specification Pattern: підзапити, агрегації та гібридний підхід","\u002Fjava\u002Fpr2\u002F20a.advanced-specifications","04.java\u002Fpr2\u002F20a.advanced-specifications",{"title":2674,"path":2675,"stem":2676},"Асинхронність у JDBC: Від блокуючих викликів до CompletableFuture","\u002Fjava\u002Fpr2\u002Fasynchronous-jdbc","04.java\u002Fpr2\u002F21.asynchronous-jdbc",{"title":2678,"path":2679,"stem":2680},"Інтеграційне тестування JDBC-репозиторіїв: Embedded H2 та патерн AAA","\u002Fjava\u002Fpr2\u002Fintegration-testing-h2","04.java\u002Fpr2\u002F22.integration-testing-h2",{"title":2682,"path":2683,"stem":2684},"Testcontainers: Тестування з реальною PostgreSQL у Docker-контейнерах","\u002Fjava\u002Fpr2\u002Fintegration-testing-testcontainers","04.java\u002Fpr2\u002F23.integration-testing-testcontainers",{"title":2686,"path":2687,"stem":2688},"Google Guice: Впровадження залежностей у JavaFX-проєкті","\u002Fjava\u002Fpr2\u002Fdependency-injection-guice","04.java\u002Fpr2\u002F24.dependency-injection-guice",{"title":2690,"path":2691,"stem":2692},"JavaFX: Основи побудови графічних інтерфейсів","\u002Fjava\u002Fpr2\u002Fjavafx-fundamentals","04.java\u002Fpr2\u002F25.javafx-fundamentals",{"title":2694,"path":2695,"stem":2696},"Properties та Bindings: Реактивність у JavaFX","\u002Fjava\u002Fpr2\u002Fjavafx-properties-bindings","04.java\u002Fpr2\u002F26.javafx-properties-bindings",{"title":2698,"path":2699,"stem":2700},"MVC vs MVP vs MVVM: Еволюція архітектурних патернів UI","\u002Fjava\u002Fpr2\u002Fui-architecture-patterns","04.java\u002Fpr2\u002F27.ui-architecture-patterns",{"title":2702,"path":2703,"stem":2704},"MVVM на практиці: Побудова ViewModel","\u002Fjava\u002Fpr2\u002Fmvvm-viewmodel-implementation","04.java\u002Fpr2\u002F28.mvvm-viewmodel-implementation",{"title":2706,"path":2707,"stem":2708},"View та Controller: Зв'язування з ViewModel через FXML","\u002Fjava\u002Fpr2\u002Fmvvm-view-controller","04.java\u002Fpr2\u002F29.mvvm-view-controller",{"title":2710,"path":2711,"stem":2712},"Інтеграція MVVM з Guice: Автоматична ін'єкція залежностей","\u002Fjava\u002Fpr2\u002Fmvvm-guice-integration","04.java\u002Fpr2\u002F30.mvvm-guice-integration",{"title":2714,"path":2715,"stem":2716},"Валідація та обробка помилок у MVVM","\u002Fjava\u002Fpr2\u002Fmvvm-validation-error-handling","04.java\u002Fpr2\u002F31.mvvm-validation-error-handling",{"title":2718,"path":2719,"stem":2720},"Навігація та управління екранами у JavaFX MVVM","\u002Fjava\u002Fpr2\u002Fmvvm-navigation-screen-management","04.java\u002Fpr2\u002F32.mvvm-navigation-screen-management",{"title":2722,"path":2723,"stem":2724},"Тестування JavaFX MVVM-додатків","\u002Fjava\u002Fpr2\u002Fmvvm-testing","04.java\u002Fpr2\u002F33.mvvm-testing",{"title":2726,"path":2727,"stem":2728},"Стилізація та теми у JavaFX: CSS та User Experience","\u002Fjava\u002Fpr2\u002Fjavafx-styling-themes","04.java\u002Fpr2\u002F34.javafx-styling-themes",{"title":2730,"path":2731,"stem":2732},"AtlantaFX: Сучасні теми для JavaFX додатків","\u002Fjava\u002Fpr2\u002Fatlantafx-modern-themes","04.java\u002Fpr2\u002F35.atlantafx-modern-themes",{"title":2734,"path":2735,"stem":2736},"Пакування та розповсюдження JavaFX-додатків","\u002Fjava\u002Fpr2\u002Fjar-packaging-distribution","04.java\u002Fpr2\u002F36.jar-packaging-distribution",{"title":2738,"icon":2739,"path":2740,"stem":2741,"children":2742,"page":59},"Python","i-devicon-python","\u002Fpython","05.python",[2743,2747,2750,2754,2758,2762,2766,2770,2774,2778,2782,2786,2790,2794,2798,2859],{"title":2744,"path":2745,"stem":2746},"Модулі, Пакети та Віртуальні Середовища","\u002Fpython\u002Fmodules-packages-venv","05.python\u002F00.modules-packages-venv",{"title":71,"path":2748,"stem":2749},"\u002Fpython\u002Fclasses-objects","05.python\u002F01.classes-objects",{"title":2751,"path":2752,"stem":2753},"Інкапсуляція, Керування Доступом та Властивості","\u002Fpython\u002Fencapsulation","05.python\u002F02.encapsulation",{"title":2755,"path":2756,"stem":2757},"Наслідування, MRO та суперсила super()","\u002Fpython\u002Finheritance-mro","05.python\u002F03.inheritance-mro",{"title":2759,"path":2760,"stem":2761},"Абстракція — ABC проти Статичних Протоколів (PEP 544)","\u002Fpython\u002Fabstraction-protocols","05.python\u002F04.abstraction-protocols",{"title":2763,"path":2764,"stem":2765},"Магічні методи (Dunder) та Емуляція протоколів","\u002Fpython\u002Fdunder-methods","05.python\u002F05.dunder-methods",{"title":2767,"path":2768,"stem":2769},"Декоратори та Керування життєвим циклом методів","\u002Fpython\u002Fdecorators-static-class","05.python\u002F06.decorators-static-class",{"title":2771,"path":2772,"stem":2773},"Дескриптори — Магія доступу до атрибутів","\u002Fpython\u002Fdescriptors","05.python\u002F07.descriptors",{"title":2775,"path":2776,"stem":2777},"Метакласи — Динамічне створення класів під капотом CPython","\u002Fpython\u002Fmetaclasses","05.python\u002F08.metaclasses",{"title":2779,"path":2780,"stem":2781},"Dataclasses, NamedTuple та сучасні контейнери Python","\u002Fpython\u002Fmodern-containers","05.python\u002F09.modern-containers",{"title":2783,"path":2784,"stem":2785},"GIL та модель конкурентності CPython — фундамент перед потоками і процесами","\u002Fpython\u002Fgil-concurrency-intro","05.python\u002F11.gil-concurrency-intro",{"title":2787,"path":2788,"stem":2789},"Threading — конкурентність для I\u002FO-bound задач","\u002Fpython\u002Fthreading","05.python\u002F12.threading",{"title":2791,"path":2792,"stem":2793},"Multiprocessing — справжній паралелізм для CPU-bound задач","\u002Fpython\u002Fmultiprocessing","05.python\u002F13.multiprocessing",{"title":2795,"path":2796,"stem":2797},"asyncio — кооперативна конкурентність та event loop","\u002Fpython\u002Fasyncio","05.python\u002F14.asyncio",{"title":2799,"icon":92,"path":2800,"stem":2801,"children":2802,"page":59},"FastAPI","\u002Fpython\u002Ffastapi","05.python\u002Ffastapi",[2803,2807,2811,2815,2819,2823,2827,2831,2835,2839,2843,2847,2851,2855],{"title":2804,"path":2805,"stem":2806},"Глибокий Typing та Pydantic v2 — від анотацій до валідації","\u002Fpython\u002Ffastapi\u002Ftyping-pydantic","05.python\u002Ffastapi\u002F15.typing-pydantic",{"title":2808,"path":2809,"stem":2810},"WSGI, ASGI та Python Web-екосистема","\u002Fpython\u002Ffastapi\u002Fwsgi-asgi-ecosystem","05.python\u002Ffastapi\u002F16.wsgi-asgi-ecosystem",{"title":2812,"path":2813,"stem":2814},"FastAPI: Перший додаток, Uvicorn та OpenAPI","\u002Fpython\u002Ffastapi\u002Ffastapi-intro","05.python\u002Ffastapi\u002F17.fastapi-intro",{"title":2816,"path":2817,"stem":2818},"Маршрутизація, параметри запитів та APIRouter","\u002Fpython\u002Ffastapi\u002Ffastapi-routing-params","05.python\u002Ffastapi\u002F18.fastapi-routing-params",{"title":2820,"path":2821,"stem":2822},"Pydantic v2 у FastAPI — схеми, валідація та серіалізація","\u002Fpython\u002Ffastapi\u002Ffastapi-pydantic-schemas","05.python\u002Ffastapi\u002F19.fastapi-pydantic-schemas",{"title":2824,"path":2825,"stem":2826},"Dependency Injection — серце архітектури FastAPI","\u002Fpython\u002Ffastapi\u002Ffastapi-dependency-injection","05.python\u002Ffastapi\u002F20.fastapi-dependency-injection",{"title":2828,"path":2829,"stem":2830},"Обробка помилок, Middleware та CORS у FastAPI","\u002Fpython\u002Ffastapi\u002Ffastapi-errors-middleware","05.python\u002Ffastapi\u002F21.fastapi-errors-middleware",{"title":2832,"path":2833,"stem":2834},"SQLAlchemy 2.0 — ORM, Core та Async Engine","\u002Fpython\u002Ffastapi\u002Fsqlalchemy-orm","05.python\u002Ffastapi\u002F22.sqlalchemy-orm",{"title":2836,"path":2837,"stem":2838},"Alembic — міграції бази даних","\u002Fpython\u002Ffastapi\u002Falembic-migrations","05.python\u002Ffastapi\u002F23.alembic-migrations",{"title":2840,"path":2841,"stem":2842},"Repository Pattern та Clean Architecture у FastAPI","\u002Fpython\u002Ffastapi\u002Ffastapi-repository-clean-arch","05.python\u002Ffastapi\u002F24.fastapi-repository-clean-arch",{"title":2844,"path":2845,"stem":2846},"Автентифікація та авторизація — JWT, OAuth2, RBAC","\u002Fpython\u002Ffastapi\u002Ffastapi-auth-security","05.python\u002Ffastapi\u002F25.fastapi-auth-security",{"title":2848,"path":2849,"stem":2850},"Тестування FastAPI — pytest, httpx, fixtures","\u002Fpython\u002Ffastapi\u002Ffastapi-testing","05.python\u002Ffastapi\u002F26.fastapi-testing",{"title":2852,"path":2853,"stem":2854},"Async на повну — Background Tasks, WebSockets, SSE та Celery","\u002Fpython\u002Ffastapi\u002Ffastapi-async-advanced","05.python\u002Ffastapi\u002F27.fastapi-async-advanced",{"title":2856,"path":2857,"stem":2858},"Deployment — Docker, CI\u002FCD, Monitoring","\u002Fpython\u002Ffastapi\u002Ffastapi-deployment","05.python\u002Ffastapi\u002F28.fastapi-deployment",{"title":2860,"path":2861,"stem":2862},"[object Object]","\u002Fpython\u002Foop-plan","05.python\u002Foop-plan",{"title":2864,"icon":2865,"path":2866,"stem":2867,"children":2868,"page":59},"Бази даних","i-lucide-database","\u002Fdatabases","06.databases",[2869,2899,2922,2959,2988,3006,3040,3052,3061],{"title":2870,"icon":2871,"path":2872,"stem":2873,"children":2874,"page":59},"Intro","i-lucide-play","\u002Fdatabases\u002Fintro","06.databases\u002F01.intro",[2875,2879,2883,2887,2891,2895],{"title":2876,"path":2877,"stem":2878},"Введення в теорію баз даних","\u002Fdatabases\u002Fintro\u002Fintroduction-to-databases","06.databases\u002F01.intro\u002F01.introduction-to-databases",{"title":2880,"path":2881,"stem":2882},"Реляційна модель даних","\u002Fdatabases\u002Fintro\u002Frelational-model-theory","06.databases\u002F01.intro\u002F02.relational-model-theory",{"title":2884,"path":2885,"stem":2886},"ER-моделювання","\u002Fdatabases\u002Fintro\u002Fer-modeling","06.databases\u002F01.intro\u002F03.er-modeling",{"title":2888,"path":2889,"stem":2890},"Логічне проектування БД","\u002Fdatabases\u002Fintro\u002Flogical-schema","06.databases\u002F01.intro\u002F04.logical-schema",{"title":2892,"path":2893,"stem":2894},"Класифікація таблиць","\u002Fdatabases\u002Fintro\u002Ftable-classification","06.databases\u002F01.intro\u002F05.table-classification",{"title":2896,"path":2897,"stem":2898},"PlantUML для баз даних","\u002Fdatabases\u002Fintro\u002Fplantuml-diagrams","06.databases\u002F01.intro\u002F06.plantuml-diagrams",{"title":2900,"icon":2865,"path":2901,"stem":2902,"children":2903,"page":59},"MS SQL Server Start","\u002Fdatabases\u002Fms-sql-server-start","06.databases\u002F02.ms-sql-server-start",[2904,2908,2914,2918],{"title":2905,"path":2906,"stem":2907},"Типи даних у MS SQL Server","\u002Fdatabases\u002Fms-sql-server-start\u002Fdata-types","06.databases\u002F02.ms-sql-server-start\u002F01.data-types",{"title":2909,"path":2910,"stem":2911,"children":2912},"Індекси у MS SQL Server","\u002Fdatabases\u002Fms-sql-server-start\u002Fsql-indexes","06.databases\u002F02.ms-sql-server-start\u002F02.sql-indexes",[2913],{"title":2909,"path":2910,"stem":2911},{"title":2915,"path":2916,"stem":2917},"Системні бази даних MS SQL Server","\u002Fdatabases\u002Fms-sql-server-start\u002Fsystem-databases","06.databases\u002F02.ms-sql-server-start\u002F03.system-databases",{"title":2919,"path":2920,"stem":2921},"Огляд мови SQL та запитів","\u002Fdatabases\u002Fms-sql-server-start\u002Fsql-queries-overview","06.databases\u002F02.ms-sql-server-start\u002F04.sql-queries-overview",{"title":2923,"icon":2865,"path":2924,"stem":2925,"children":2926,"page":59},"SQL","\u002Fdatabases\u002Fsql","06.databases\u002F03.sql",[2927,2931,2935,2939,2943,2947,2951,2955],{"title":2928,"path":2929,"stem":2930},"Налаштування демонстраційної бази даних","\u002Fdatabases\u002Fsql\u002Fsample-database-setup","06.databases\u002F03.sql\u002F00.sample-database-setup",{"title":2932,"path":2933,"stem":2934},"DDL - Створення таблиць (CREATE TABLE)","\u002Fdatabases\u002Fsql\u002Fddl-create-table","06.databases\u002F03.sql\u002F01.ddl-create-table",{"title":2936,"path":2937,"stem":2938},"DDL - Зміна та видалення таблиць (ALTER, DROP)","\u002Fdatabases\u002Fsql\u002Fddl-alter-drop-table","06.databases\u002F03.sql\u002F02.ddl-alter-drop-table",{"title":2940,"path":2941,"stem":2942},"SELECT запити - Основи","\u002Fdatabases\u002Fsql\u002Fselect-queries-fundamentals","06.databases\u002F03.sql\u002F03.select-queries-fundamentals",{"title":2944,"path":2945,"stem":2946},"SELECT запити - Розширені можливості","\u002Fdatabases\u002Fsql\u002Fselect-queries-advanced","06.databases\u002F03.sql\u002F04.select-queries-advanced",{"title":2948,"path":2949,"stem":2950},"INSERT запити - Додавання даних","\u002Fdatabases\u002Fsql\u002Finsert-queries","06.databases\u002F03.sql\u002F05.insert-queries",{"title":2952,"path":2953,"stem":2954},"UPDATE та DELETE запити","\u002Fdatabases\u002Fsql\u002Fupdate-delete-queries","06.databases\u002F03.sql\u002F06.update-delete-queries",{"title":2956,"path":2957,"stem":2958},"Транзакції в SQL","\u002Fdatabases\u002Fsql\u002Ftransactions","06.databases\u002F03.sql\u002F07.transactions",{"title":2960,"icon":2865,"path":2961,"stem":2962,"children":2963,"page":59},"Multi Table Databases","\u002Fdatabases\u002Fmulti-table-databases","06.databases\u002F04.multi-table-databases",[2964,2968,2972,2976,2980,2984],{"title":2965,"path":2966,"stem":2967},"Зв'язки та нормалізація БД","\u002Fdatabases\u002Fmulti-table-databases\u002Frelationships-and-normalization","06.databases\u002F04.multi-table-databases\u002F00.relationships-and-normalization",{"title":2969,"path":2970,"stem":2971},"INNER JOIN - З'єднання таблиць","\u002Fdatabases\u002Fmulti-table-databases\u002Finner-join","06.databases\u002F04.multi-table-databases\u002F01.inner-join",{"title":2973,"path":2974,"stem":2975},"OUTER JOINs - LEFT, RIGHT, FULL","\u002Fdatabases\u002Fmulti-table-databases\u002Fouter-joins","06.databases\u002F04.multi-table-databases\u002F02.outer-joins",{"title":2977,"path":2978,"stem":2979},"CROSS та SELF JOINs","\u002Fdatabases\u002Fmulti-table-databases\u002Fcross-self-joins","06.databases\u002F04.multi-table-databases\u002F03.cross-self-joins",{"title":2981,"path":2982,"stem":2983},"Підзапити (Subqueries)","\u002Fdatabases\u002Fmulti-table-databases\u002Fsubqueries","06.databases\u002F04.multi-table-databases\u002F04.subqueries",{"title":2985,"path":2986,"stem":2987},"Агрегації з JOIN","\u002Fdatabases\u002Fmulti-table-databases\u002Faggregations-with-joins","06.databases\u002F04.multi-table-databases\u002F05.aggregations-with-joins",{"title":2989,"icon":2990,"path":2991,"stem":2992,"children":2993,"page":59},"Aggregate Functions","i-lucide-calculator","\u002Fdatabases\u002Faggregate-functions","06.databases\u002F05.aggregate-functions",[2994,2998,3002],{"title":2995,"path":2996,"stem":2997},"Функції агрегування в MS SQL Server","\u002Fdatabases\u002Faggregate-functions\u002Fintroduction-aggregate-functions","06.databases\u002F05.aggregate-functions\u002F01.introduction-aggregate-functions",{"title":2999,"path":3000,"stem":3001},"Групування даних в MS SQL Server","\u002Fdatabases\u002Faggregate-functions\u002Fgrouping-data","06.databases\u002F05.aggregate-functions\u002F02.grouping-data",{"title":3003,"path":3004,"stem":3005},"Підзапити з агрегатними функціями","\u002Fdatabases\u002Faggregate-functions\u002Fsubqueries-aggregates","06.databases\u002F05.aggregate-functions\u002F03.subqueries-aggregates",{"title":3007,"icon":3008,"path":3009,"stem":3010,"children":3011,"page":59},"Тригери та зберігаємі процедури","i-lucide-database-zap","\u002Fdatabases\u002Ftriggers-stored-procedures","06.databases\u002F07.triggers-stored-procedures",[3012,3016,3020,3024,3028,3032,3036],{"title":3013,"path":3014,"stem":3015},"DML-тригери","\u002Fdatabases\u002Ftriggers-stored-procedures\u002Fdml-triggers","06.databases\u002F07.triggers-stored-procedures\u002F01.dml-triggers",{"title":3017,"path":3018,"stem":3019},"DDL-тригери","\u002Fdatabases\u002Ftriggers-stored-procedures\u002Fddl-triggers","06.databases\u002F07.triggers-stored-procedures\u002F02.ddl-triggers",{"title":3021,"path":3022,"stem":3023},"Transact-SQL розширення","\u002Fdatabases\u002Ftriggers-stored-procedures\u002Ftransact-sql-extensions","06.databases\u002F07.triggers-stored-procedures\u002F03.transact-sql-extensions",{"title":3025,"path":3026,"stem":3027},"Транзакції","\u002Fdatabases\u002Ftriggers-stored-procedures\u002Ftransactions","06.databases\u002F07.triggers-stored-procedures\u002F04.transactions",{"title":3029,"path":3030,"stem":3031},"Зберігаємі процедури","\u002Fdatabases\u002Ftriggers-stored-procedures\u002Fstored-procedures","06.databases\u002F07.triggers-stored-procedures\u002F05.stored-procedures",{"title":3033,"path":3034,"stem":3035},"Користувацькі функції","\u002Fdatabases\u002Ftriggers-stored-procedures\u002Fuser-defined-functions","06.databases\u002F07.triggers-stored-procedures\u002F06.user-defined-functions",{"title":3037,"path":3038,"stem":3039},"Безпека баз даних","\u002Fdatabases\u002Ftriggers-stored-procedures\u002Fsecurity","06.databases\u002F07.triggers-stored-procedures\u002F08.security",{"title":3037,"icon":793,"path":3041,"stem":3042,"children":3043,"page":59},"\u002Fdatabases\u002Fsecurity","06.databases\u002F08.security",[3044,3048],{"title":3045,"path":3046,"stem":3047},"Вступ до безпеки баз даних","\u002Fdatabases\u002Fsecurity\u002Fintroduction","06.databases\u002F08.security\u002F01.introduction",{"title":3049,"path":3050,"stem":3051},"Системні представлення та метадані","\u002Fdatabases\u002Fsecurity\u002Fsystem-views","06.databases\u002F08.security\u002F02.system-views",{"title":3053,"icon":3054,"path":3055,"stem":3056,"children":3057,"page":59},"Резервне копіювання та відновлення","i-lucide-database-backup","\u002Fdatabases\u002Fbackup-recovery","06.databases\u002F09.backup-recovery",[3058],{"title":3053,"path":3059,"stem":3060},"\u002Fdatabases\u002Fbackup-recovery\u002Fbackup-restore","06.databases\u002F09.backup-recovery\u002F01.backup-restore",{"title":3062,"icon":3063,"path":3064,"stem":3065,"children":3066,"page":59},"Повнотекстовий пошук","i-lucide-search","\u002Fdatabases\u002Ffull-text-search","06.databases\u002F10.full-text-search",[3067],{"title":3062,"path":3068,"stem":3069},"\u002Fdatabases\u002Ffull-text-search\u002Ffull-text-search","06.databases\u002F10.full-text-search\u002F01.full-text-search",{"title":3071,"icon":3072,"path":3073,"stem":3074,"children":3075,"page":59},"Tools","i-lucide-wrench","\u002Ftools","07.tools",[3076,3152],{"title":3077,"icon":3078,"path":3079,"stem":3080,"children":3081},"Docker","i-simple-icons-docker","\u002Ftools\u002Fdocker","07.tools\u002F01.docker\u002Findex",[3082,3084,3088,3092,3096,3100,3104,3108,3112,3116,3120,3124,3128,3132,3136,3140,3144,3148],{"title":3083,"path":3079,"stem":3080},"Docker: від нуля до production",{"title":3085,"path":3086,"stem":3087},"Контейнеризація — від проблеми до рішення","\u002Ftools\u002Fdocker\u002Fcontainerization-concept","07.tools\u002F01.docker\u002F01.containerization-concept",{"title":3089,"path":3090,"stem":3091},"Docker — що це і навіщо?","\u002Ftools\u002Fdocker\u002Fdocker-what-and-why","07.tools\u002F01.docker\u002F02.docker-what-and-why",{"title":3093,"path":3094,"stem":3095},"Архітектура Docker Engine","\u002Ftools\u002Fdocker\u002Fdocker-architecture","07.tools\u002F01.docker\u002F03.docker-architecture",{"title":3097,"path":3098,"stem":3099},"Встановлення Docker","\u002Ftools\u002Fdocker\u002Finstallation","07.tools\u002F01.docker\u002F04.installation",{"title":3101,"path":3102,"stem":3103},"Перший контейнер — docker run","\u002Ftools\u002Fdocker\u002Ffirst-container","07.tools\u002F01.docker\u002F05.first-container",{"title":3105,"path":3106,"stem":3107},"Життєвий цикл контейнера","\u002Ftools\u002Fdocker\u002Fcontainer-lifecycle","07.tools\u002F01.docker\u002F06.container-lifecycle",{"title":3109,"path":3110,"stem":3111},"Docker Images — фундаментальні концепції","\u002Ftools\u002Fdocker\u002Fdocker-images-fundamentals","07.tools\u002F01.docker\u002F07.docker-images-fundamentals",{"title":3113,"path":3114,"stem":3115},"Dockerfile — основи","\u002Ftools\u002Fdocker\u002Fdockerfile-basics","07.tools\u002F01.docker\u002F08.dockerfile-basics",{"title":3117,"path":3118,"stem":3119},"Dockerfile — просунуті техніки","\u002Ftools\u002Fdocker\u002Fdockerfile-advanced","07.tools\u002F01.docker\u002F09.dockerfile-advanced",{"title":3121,"path":3122,"stem":3123},"Build Context та кешування шарів","\u002Ftools\u002Fdocker\u002Fbuild-context-and-cache","07.tools\u002F01.docker\u002F10.build-context-and-cache",{"title":3125,"path":3126,"stem":3127},"Реєстри Docker-образів","\u002Ftools\u002Fdocker\u002Fimage-registries","07.tools\u002F01.docker\u002F11.image-registries",{"title":3129,"path":3130,"stem":3131},"Контейнеризація .NET додатків","\u002Ftools\u002Fdocker\u002Fdotnet-containerization","07.tools\u002F01.docker\u002F12.dotnet-containerization",{"title":3133,"path":3134,"stem":3135},"Томи та збереження даних","\u002Ftools\u002Fdocker\u002Fvolumes-and-data","07.tools\u002F01.docker\u002F13.volumes-and-data",{"title":3137,"path":3138,"stem":3139},"Основи мережі в Docker","\u002Ftools\u002Fdocker\u002Fnetworking-basics","07.tools\u002F01.docker\u002F14.networking-basics",{"title":3141,"path":3142,"stem":3143},"Змінні оточення та конфігурація","\u002Ftools\u002Fdocker\u002Fenvironment-and-configuration","07.tools\u002F01.docker\u002F15.environment-and-configuration",{"title":3145,"path":3146,"stem":3147},"Docker Compose — оркестрація контейнерів","\u002Ftools\u002Fdocker\u002Fdocker-compose-basics","07.tools\u002F01.docker\u002F16.docker-compose-basics",{"title":3149,"path":3150,"stem":3151},"Docker Compose — Multi-Service застосунки","\u002Ftools\u002Fdocker\u002Fcompose-multi-service","07.tools\u002F01.docker\u002F17.compose-multi-service",{"title":3153,"icon":3154,"path":3155,"stem":3156,"children":3157},"Kubernetes","simple-icons:kubernetes","\u002Ftools\u002Fkubernetes","07.tools\u002F02.kubernetes\u002Findex",[3158,3160,3164,3168,3172,3176,3180,3184,3188],{"title":3159,"path":3155,"stem":3156},"Kubernetes: від розробки до production",{"title":3161,"path":3162,"stem":3163},"Kubernetes — коли Docker Compose більше не вистачає","\u002Ftools\u002Fkubernetes\u002Fwhy-kubernetes","07.tools\u002F02.kubernetes\u002F01.why-kubernetes",{"title":3165,"path":3166,"stem":3167},"Архітектура Kubernetes — анатомія кластера","\u002Ftools\u002Fkubernetes\u002Fkubernetes-architecture","07.tools\u002F02.kubernetes\u002F02.kubernetes-architecture",{"title":3169,"path":3170,"stem":3171},"Локальне середовище — minikube, kind та k3s","\u002Ftools\u002Fkubernetes\u002Flocal-environment","07.tools\u002F02.kubernetes\u002F03.local-environment",{"title":3173,"path":3174,"stem":3175},"Pod — атомарна одиниця Kubernetes","\u002Ftools\u002Fkubernetes\u002Fpods-and-containers","07.tools\u002F02.kubernetes\u002F04.pods-and-containers",{"title":3177,"path":3178,"stem":3179},"Патерни використання Pod","\u002Ftools\u002Fkubernetes\u002Fpod-patterns","07.tools\u002F02.kubernetes\u002F05.pod-patterns",{"title":3181,"path":3182,"stem":3183},"Deployment — декларативне управління Pod","\u002Ftools\u002Fkubernetes\u002Fdeployment-basics","07.tools\u002F02.kubernetes\u002F06.deployment-basics",{"title":3185,"path":3186,"stem":3187},"Rolling Updates та управління життєвим циклом Deployment","\u002Ftools\u002Fkubernetes\u002Fdeployment-rolling-updates","07.tools\u002F02.kubernetes\u002F07.deployment-rolling-updates",{"title":3189,"path":3190,"stem":3191},"Service — мережева абстракція для Pod","\u002Ftools\u002Fkubernetes\u002Fservices-networking","07.tools\u002F02.kubernetes\u002F08.services-networking",{"title":3193,"icon":3194,"path":3195,"stem":3196,"children":3197,"page":59},"Software Engineering","i-lucide-code-2","\u002Fsoftware-engineering","09.software-engineering",[3198,3202,3206,3210,3214,3218,3222,3226,3230,3234,3238],{"title":3199,"path":3200,"stem":3201},"1. Аналіз предметної області. Експертні знання та складність","\u002Fsoftware-engineering\u002Fintro-subdomains","09.software-engineering\u002F01.intro-subdomains",{"title":3203,"path":3204,"stem":3205},"2. Обмежені контексти. Інтеграція обмежених контекстів","\u002Fsoftware-engineering\u002Fintegrating-limited-contexts","09.software-engineering\u002F02.integrating-limited-contexts",{"title":3207,"path":3208,"stem":3209},"3. Реалізація простої бізнес-логіки","\u002Fsoftware-engineering\u002Fsimple","09.software-engineering\u002F03.simple",{"title":3211,"path":3212,"stem":3213},"4. Опрацювання складної бізнес-логіки","\u002Fsoftware-engineering\u002Fcomplex-business-logic","09.software-engineering\u002F04.complex-business-logic",{"title":3215,"path":3216,"stem":3217},"5. Моделювання фактора часу. Подієво-орієнтована архітектура.","\u002Fsoftware-engineering\u002Fmodelling-the-time-factor","09.software-engineering\u002F05.modelling-the-time-factor",{"title":3219,"path":3220,"stem":3221},"6. Архітектурні патерни","\u002Fsoftware-engineering\u002Farchitectural-patterns","09.software-engineering\u002F06.architectural-patterns",{"title":3223,"path":3224,"stem":3225},"Паттерни взаємодії","\u002Fsoftware-engineering\u002Fpatterns-of-interaction","09.software-engineering\u002F07.patterns-of-interaction",{"title":3227,"path":3228,"stem":3229},"Евристика проєктування","\u002Fsoftware-engineering\u002Fdesign-heuristics","09.software-engineering\u002F08.design-heuristics",{"title":3231,"path":3232,"stem":3233},"Еволюція проєктних рішень","\u002Fsoftware-engineering\u002Fevolution-of-design-solutions","09.software-engineering\u002F09.evolution-of-design-solutions",{"title":3235,"path":3236,"stem":3237},"EventStorming","\u002Fsoftware-engineering\u002Feventstorming","09.software-engineering\u002F10.eventstorming",{"title":3239,"path":3240,"stem":3241},"DDD на практиці","\u002Fsoftware-engineering\u002Fddd-in-practice","09.software-engineering\u002F11.ddd-in-practice",{"title":3243,"icon":943,"path":3244,"stem":3245,"children":3246,"page":59},"DDD","\u002Fddd","10.ddd",[3247,3251,3255,3259,3263,3267,3271,3275,3279,3283,3287,3291,3295],{"title":3248,"path":3249,"stem":3250},"Аналіз предметної області","\u002Fddd\u002Fdomain-analysis","10.ddd\u002F01.domain-analysis",{"title":3252,"path":3253,"stem":3254},"Експертні знання про предметну область","\u002Fddd\u002Fdomain-expert-knowledge","10.ddd\u002F02.domain-expert-knowledge",{"title":3256,"path":3257,"stem":3258},"Як осмислити складність предметної області","\u002Fddd\u002Fmanaging-domain-complexity","10.ddd\u002F03.managing-domain-complexity",{"title":3260,"path":3261,"stem":3262},"Інтеграція обмежених контекстів","\u002Fddd\u002Fbounded-context-integration","10.ddd\u002F04.bounded-context-integration",{"title":3264,"path":3265,"stem":3266},"Реалізація простої бізнес-логіки","\u002Fddd\u002Fsimple-business-logic","10.ddd\u002F05.simple-business-logic",{"title":3268,"path":3269,"stem":3270},"Обробка складної бізнес-логіки","\u002Fddd\u002Fcomplex-business-logic","10.ddd\u002F06.complex-business-logic",{"title":3272,"path":3273,"stem":3274},"Моделювання фактора часу","\u002Fddd\u002Ftime-modeling","10.ddd\u002F07.time-modeling",{"title":3276,"path":3277,"stem":3278},"Глава 8. Архітектурні Патерни","\u002Fddd\u002Farchitectural-patterns","10.ddd\u002F08.architectural-patterns",{"title":3280,"path":3281,"stem":3282},"Глава 9. Патерни Взаємодії","\u002Fddd\u002Finteraction-patterns","10.ddd\u002F09.interaction-patterns",{"title":3284,"path":3285,"stem":3286},"Глава 10. Проектні Евристики","\u002Fddd\u002Fdesign-heuristics","10.ddd\u002F10.design-heuristics",{"title":3288,"path":3289,"stem":3290},"Глава 11. Еволюція Проектних Рішень","\u002Fddd\u002Fevolution-of-design-decisions","10.ddd\u002F11.evolution-of-design-decisions",{"title":3292,"path":3293,"stem":3294},"Глава 12. EventStorming","\u002Fddd\u002Fevent-storming","10.ddd\u002F12.event-storming",{"title":3296,"path":3297,"stem":3298},"Глава 13. DDD на Практиці","\u002Fddd\u002Fddd-in-practice","10.ddd\u002F13.ddd-in-practice",{"title":3300,"icon":3301,"path":3302,"stem":3303,"children":3304,"page":59},"Media Streaming","i-lucide-video","\u002Fmedia-streaming","11.media-streaming",[3305,3309,3313,3317,3321,3325,3329],{"title":3306,"path":3307,"stem":3308},"01. Магія Стрімінгу: Що відбувається, коли ви натискаєте \"Play\"","\u002Fmedia-streaming\u002Fintroduction","11.media-streaming\u002F01.introduction",{"title":3310,"path":3311,"stem":3312},"02. Анатомія Медіа: Кодеки, Контейнери та Стиснення","\u002Fmedia-streaming\u002Faudio-video-anatomy","11.media-streaming\u002F02.audio-video-anatomy",{"title":3314,"path":3315,"stem":3316},"03. The Gym: FFmpeg Deep Dive","\u002Fmedia-streaming\u002Fffmpeg-gym","11.media-streaming\u002F03.ffmpeg-gym",{"title":3318,"path":3319,"stem":3320},"04. HLS Protocol: HTTP Live Streaming у Деталях","\u002Fmedia-streaming\u002Fhls-protocol","11.media-streaming\u002F04.hls-protocol",{"title":3322,"path":3323,"stem":3324},"05. DASH Protocol: Відкритий Стандарт","\u002Fmedia-streaming\u002Fdash-protocol","11.media-streaming\u002F05.dash-protocol",{"title":3326,"path":3327,"stem":3328},"06. Масштабування: CDN та Adaptive Bitrate","\u002Fmedia-streaming\u002Fcdn-and-adaptive-bitrate","11.media-streaming\u002F06.cdn-and-adaptive-bitrate",{"title":3330,"path":3331,"stem":3332},"07. Війна із Затримкою (Latency)","\u002Fmedia-streaming\u002Frealtime-latency","11.media-streaming\u002F07.realtime-latency",{"title":3334,"icon":3335,"path":3336,"stem":3337,"children":3338,"page":59},"HTML & CSS","i-devicon-html5","\u002Fhtml-css","12.html-css",[3339,3343,3347,3351,3355,3359,3363,3367,3371,3375,3379,3383,3387,3391,3395,3399,3403,3407,3411,3415,3419,3423,3427,3431,3435,3439,3443,3447,3451,3455],{"title":3340,"path":3341,"stem":3342},"Вступ до HTML. Структура документа","\u002Fhtml-css\u002Fintro-html-structure","12.html-css\u002F01.intro-html-structure",{"title":3344,"path":3345,"stem":3346},"Форматування тексту в HTML","\u002Fhtml-css\u002Fhtml-text-formatting","12.html-css\u002F02.html-text-formatting",{"title":3348,"path":3349,"stem":3350},"Посилання та зображення в HTML","\u002Fhtml-css\u002Fhtml-links-images","12.html-css\u002F03.html-links-images",{"title":3352,"path":3353,"stem":3354},"Списки та таблиці в HTML","\u002Fhtml-css\u002Fhtml-lists-tables","12.html-css\u002F04.html-lists-tables",{"title":3356,"path":3357,"stem":3358},"Форми в HTML","\u002Fhtml-css\u002Fhtml-forms","12.html-css\u002F05.html-forms",{"title":3360,"path":3361,"stem":3362},"Семантичні елементи HTML5","\u002Fhtml-css\u002Fhtml-semantic-elements","12.html-css\u002F06.html-semantic-elements",{"title":3364,"path":3365,"stem":3366},"Мультимедіа та розширені елементи HTML","\u002Fhtml-css\u002Fhtml-multimedia-advanced","12.html-css\u002F07.html-multimedia-advanced",{"title":3368,"path":3369,"stem":3370},"Мікророзмітка та SEO в HTML","\u002Fhtml-css\u002Fhtml-microdata-seo","12.html-css\u002F08.html-microdata-seo",{"title":3372,"path":3373,"stem":3374},"Вступ до CSS. Селектори та специфічність","\u002Fhtml-css\u002Fcss-intro-selectors","12.html-css\u002F09.css-intro-selectors",{"title":3376,"path":3377,"stem":3378},"Блокова модель CSS. Відступи. Box Sizing","\u002Fhtml-css\u002Fcss-box-model","12.html-css\u002F10.css-box-model",{"title":3380,"path":3381,"stem":3382},"Розміри у CSS: повний довідник одиниць і ключових слів","\u002Fhtml-css\u002F10a.css-sizing","12.html-css\u002F10a.css-sizing",{"title":3384,"path":3385,"stem":3386},"Типографіка в CSS. Шрифти та текст","\u002Fhtml-css\u002Fcss-typography","12.html-css\u002F11.css-typography",{"title":3388,"path":3389,"stem":3390},"Кольори та фони в CSS","\u002Fhtml-css\u002Fcss-colors-backgrounds","12.html-css\u002F12.css-colors-backgrounds",{"title":3392,"path":3393,"stem":3394},"Тіні та фільтри в CSS","\u002Fhtml-css\u002F12b.css-shadows-filters","12.html-css\u002F12b.css-shadows-filters",{"title":3396,"path":3397,"stem":3398},"CSS Flexbox: Фундамент гнучких макетів","\u002Fhtml-css\u002Fcss-flexbox-fundamentals","12.html-css\u002F13.css-flexbox-fundamentals",{"title":3400,"path":3401,"stem":3402},"CSS Flexbox: Вирівнювання та Позиціонування","\u002Fhtml-css\u002Fcss-flexbox-alignment-sizing-and-patterns","12.html-css\u002F14.css-flexbox-alignment-sizing-and-patterns",{"title":3404,"path":3405,"stem":3406},"CSS Grid. Двовимірний макет. Частина 1","\u002Fhtml-css\u002Fcss-layout-grid","12.html-css\u002F15.css-layout-grid",{"title":3408,"path":3409,"stem":3410},"CSS Grid. Двовимірний макет. Частина 2","\u002Fhtml-css\u002Fcss-layout-grid-advanced","12.html-css\u002F16.css-layout-grid-advanced",{"title":3412,"path":3413,"stem":3414},"Позиціонування в CSS. Z-index. Stacking Context","\u002Fhtml-css\u002Fcss-positioning","12.html-css\u002F17.css-positioning",{"title":3416,"path":3417,"stem":3418},"CSS Анімації та Переходи","\u002Fhtml-css\u002Fcss-animations-transitions","12.html-css\u002F18.css-animations-transitions",{"title":3420,"path":3421,"stem":3422},"Адаптивний дизайн. Media Queries. Частина 1","\u002Fhtml-css\u002Fcss-responsive-media-queries","12.html-css\u002F19.css-responsive-media-queries",{"title":3424,"path":3425,"stem":3426},"Адаптивний дизайн. Частина 2: clamp(), Container Queries, @layer","\u002Fhtml-css\u002Fcss-responsive-advanced","12.html-css\u002F20.css-responsive-advanced",{"title":3428,"path":3429,"stem":3430},"CSS Custom Properties. Методології. Сучасний CSS","\u002Fhtml-css\u002Fcss-variables-methodologies","12.html-css\u002F21.css-variables-methodologies",{"title":3432,"path":3433,"stem":3434},"Сучасний CSS 2023–2025: Нові можливості","\u002Fhtml-css\u002Fcss-modern-features","12.html-css\u002F22.css-modern-features",{"title":3436,"path":3437,"stem":3438},"CSS Nesting, @layer, @scope та @property: нативний препроцесор","\u002Fhtml-css\u002F22a.css-nesting-modern-syntax","12.html-css\u002F22a.css-nesting-modern-syntax",{"title":3440,"path":3441,"stem":3442},"CSS для форм та інтерактивних станів","\u002Fhtml-css\u002Fcss-forms-interactive-states","12.html-css\u002F23.css-forms-interactive-states",{"title":3444,"path":3445,"stem":3446},"Доступність у CSS (CSS Accessibility)","\u002Fhtml-css\u002Fcss-accessibility","12.html-css\u002F24.css-accessibility",{"title":3448,"path":3449,"stem":3450},"CSS-функції та сучасні sizing primitives","\u002Fhtml-css\u002Fcss-functions-sizing","12.html-css\u002F25.css-functions-sizing",{"title":3452,"path":3453,"stem":3454},"Rendering Pipeline і CSS Performance","\u002Fhtml-css\u002Fcss-rendering-performance","12.html-css\u002F26.css-rendering-performance",{"title":3456,"path":3457,"stem":3458},"CSS Best Practices: типові ситуації та правильні рішення","\u002Fhtml-css\u002Fcss-best-practices","12.html-css\u002F27.css-best-practices",{"title":3460,"path":3461,"stem":3462,"children":3463,"page":59},"AWS","\u002Faws","13.aws",[3464,3468,3472,3476,3480,3484,3488,3492,3496,3500,3504,3508,3512,3516,3520,3524,3528,3532],{"title":3465,"path":3466,"stem":3467},"Реєстрація AWS акаунту та студентські програми","\u002Faws\u002Faccount-registration","13.aws\u002F00.account-registration",{"title":3469,"path":3470,"stem":3471},"Вступ до хмарних обчислень та AWS","\u002Faws\u002Fintroduction-to-cloud","13.aws\u002F01.introduction-to-cloud",{"title":3473,"path":3474,"stem":3475},"AWS IAM — Identity and Access Management","\u002Faws\u002Fiam","13.aws\u002F02.iam",{"title":3477,"path":3478,"stem":3479},"AWS IAM CLI — Довідник команд","\u002Faws\u002F02a.iam-doc","13.aws\u002F02a.iam-doc",{"title":3481,"path":3482,"stem":3483},"Docker та контейнеризація в AWS — ECR, ECS та Fargate","\u002Faws\u002Fdocker-ecs","13.aws\u002F03.docker-ecs",{"title":3485,"path":3486,"stem":3487},"AWS ECR \u002F ECS CLI — Довідник команд","\u002Faws\u002F03a.docker-ecs-doc","13.aws\u002F03a.docker-ecs-doc",{"title":3489,"path":3490,"stem":3491},"Amazon EC2 — Elastic Compute Cloud","\u002Faws\u002Fec2","13.aws\u002F04.ec2",{"title":3493,"path":3494,"stem":3495},"AWS EC2 CLI — Довідник команд","\u002Faws\u002F04a.ec2-doc","13.aws\u002F04a.ec2-doc",{"title":3497,"path":3498,"stem":3499},"Elastic Load Balancing та Auto Scaling","\u002Faws\u002Falb-asg","13.aws\u002F05.alb-asg",{"title":3501,"path":3502,"stem":3503},"Amazon S3 — Simple Storage Service","\u002Faws\u002Fs3","13.aws\u002F06.s3",{"title":3505,"path":3506,"stem":3507},"Amazon CloudFront — Content Delivery Network","\u002Faws\u002Fcloudfront","13.aws\u002F07.cloudfront",{"title":3509,"path":3510,"stem":3511},"Amazon RDS — Relational Database Service","\u002Faws\u002Frds","13.aws\u002F08.rds",{"title":3513,"path":3514,"stem":3515},"Amazon DynamoDB — NoSQL Database","\u002Faws\u002Fdynamodb","13.aws\u002F09.dynamodb",{"title":3517,"path":3518,"stem":3519},"AWS Lambda та Serverless Compute","\u002Faws\u002Flambda","13.aws\u002F10.lambda",{"title":3521,"path":3522,"stem":3523},"Amazon Bedrock - Foundation Models, RAG та Agents","\u002Faws\u002Fbedrock","13.aws\u002F22.bedrock",{"title":3525,"path":3526,"stem":3527},"Amazon Rekognition - Комп'ютерний зір","\u002Faws\u002Frekognition","13.aws\u002F23.rekognition",{"title":3529,"path":3530,"stem":3531},"Amazon Textract - Інтелектуальний аналіз документів","\u002Faws\u002Ftextract","13.aws\u002F24.textract",{"title":3533,"path":3534,"stem":3535},"Amazon Polly, Transcribe, Comprehend та Translate","\u002Faws\u002Faudio-nlp-services","13.aws\u002F25.audio-nlp-services",{"title":3537,"path":3538,"stem":3539,"children":3540,"page":59},"Ai Development","\u002Fai-development","14.ai-development",[3541],{"title":3542,"path":3543,"stem":3544,"children":3545,"page":59},"Foundations","\u002Fai-development\u002Ffoundations","14.ai-development\u002F00.foundations",[3546],{"title":3547,"path":3548,"stem":3549},"Модуль 0.1. Що таке Large Language Model (LLM)","\u002Fai-development\u002Ffoundations\u002Fwhat-is-llm","14.ai-development\u002F00.foundations\u002F01.what-is-llm",{"title":3551,"path":3552,"stem":3553,"children":3554,"page":59},"React Native","\u002Freact-native","15.react-native",[3555,3576],{"title":3556,"path":3557,"stem":3558,"children":3559,"page":59},"Version1","\u002Freact-native\u002Fversion1","15.react-native\u002Fversion1",[3560,3564,3568,3572],{"title":3561,"path":3562,"stem":3563},"Що таке React Native","\u002Freact-native\u002Fversion1\u002Fwhat-is-react-native","15.react-native\u002Fversion1\u002F01.what-is-react-native",{"title":3565,"path":3566,"stem":3567},"Як влаштований React Native «під капотом»","\u002Freact-native\u002Fversion1\u002Freact-native-architecture","15.react-native\u002Fversion1\u002F02.react-native-architecture",{"title":3569,"path":3570,"stem":3571},"Від React до React Native: ключові відмінності","\u002Freact-native\u002Fversion1\u002Freact-native-vs-react","15.react-native\u002Fversion1\u002F03.react-native-vs-react",{"title":3573,"path":3574,"stem":3575},"View та Text — фундаментальні будівельні блоки","\u002Freact-native\u002Fversion1\u002Fview-and-text","15.react-native\u002Fversion1\u002F04.view-and-text",{"title":3577,"path":3578,"stem":3579,"children":3580,"page":59},"Version2","\u002Freact-native\u002Fversion2","15.react-native\u002Fversion2",[3581,3585,3589,3593,3597,3601,3605,3609,3613,3617,3621,3625,3629,3633,3637,3641,3645,3649,3653,3657,3661,3665,3669,3673,3677,3681,3685],{"title":3582,"path":3583,"stem":3584},"React Native — навіщо він потрібен","\u002Freact-native\u002Fversion2\u002Fwhy-react-native","15.react-native\u002Fversion2\u002F01.why-react-native",{"title":3586,"path":3587,"stem":3588},"Налаштування середовища розробки","\u002Freact-native\u002Fversion2\u002Fenvironment-setup","15.react-native\u002Fversion2\u002F02.environment-setup",{"title":3590,"path":3591,"stem":3592},"Expo і класичний React Native — два шляхи одного фреймворку","\u002Freact-native\u002Fversion2\u002Fexpo-vs-cli-landscape","15.react-native\u002Fversion2\u002F03.expo-vs-cli-landscape",{"title":3594,"path":3595,"stem":3596},"Середовище Expo — перший запуск","\u002Freact-native\u002Fversion2\u002Fexpo-setup-and-tooling","15.react-native\u002Fversion2\u002F04.expo-setup-and-tooling",{"title":3598,"path":3599,"stem":3600},"Структура проєкту та перші UI-примітиви","\u002Freact-native\u002Fversion2\u002Fproject-structure-and-conventions","15.react-native\u002Fversion2\u002F05.project-structure-and-conventions",{"title":3602,"path":3603,"stem":3604},"Базові компоненти React Native","\u002Freact-native\u002Fversion2\u002Fcore-components","15.react-native\u002Fversion2\u002F06.core-components",{"title":3606,"path":3607,"stem":3608},"Flexbox і layout у React Native","\u002Freact-native\u002Fversion2\u002Fflexbox-and-layout","15.react-native\u002Fversion2\u002F07.flexbox-and-layout",{"title":3610,"path":3611,"stem":3612},"StyleSheet і теми (light \u002F dark)","\u002Freact-native\u002Fversion2\u002Fstylesheet-and-theming","15.react-native\u002Fversion2\u002F08.stylesheet-and-theming",{"title":3614,"path":3615,"stem":3616},"Списки та віртуалізація","\u002Freact-native\u002Fversion2\u002Flists-and-virtualization","15.react-native\u002Fversion2\u002F09.lists-and-virtualization",{"title":3618,"path":3619,"stem":3620},"Форми, ввід і валідація","\u002Freact-native\u002Fversion2\u002Fforms-input-validation","15.react-native\u002Fversion2\u002F10.forms-input-validation",{"title":3622,"path":3623,"stem":3624},"Основи Expo Router","\u002Freact-native\u002Fversion2\u002Fexpo-router-basics","15.react-native\u002Fversion2\u002F11.expo-router-basics",{"title":3626,"path":3627,"stem":3628},"Вкладені навігатори та модалки","\u002Freact-native\u002Fversion2\u002Fnested-navigators-and-modals","15.react-native\u002Fversion2\u002F12.nested-navigators-and-modals",{"title":3630,"path":3631,"stem":3632},"Deep linking і параметри маршрутів","\u002Freact-native\u002Fversion2\u002Fdeep-linking-and-params","15.react-native\u002Fversion2\u002F13.deep-linking-and-params",{"title":3634,"path":3635,"stem":3636},"Робота з мережею та життєвий цикл застосунку","\u002Freact-native\u002Fversion2\u002Fnetworking-and-app-lifecycle","15.react-native\u002Fversion2\u002F14.networking-and-app-lifecycle",{"title":3638,"path":3639,"stem":3640},"Redux Toolkit на мобільних платформах","\u002Freact-native\u002Fversion2\u002Fredux-toolkit-on-mobile","15.react-native\u002Fversion2\u002F15.redux-toolkit-on-mobile",{"title":3642,"path":3643,"stem":3644},"RTK Query на мобільних платформах","\u002Freact-native\u002Fversion2\u002Frtk-query-mobile","15.react-native\u002Fversion2\u002F16.rtk-query-mobile",{"title":3646,"path":3647,"stem":3648},"Автентифікація та Безпечне Зберігання","\u002Freact-native\u002Fversion2\u002Fauth-secure-storage","15.react-native\u002Fversion2\u002F18.auth-secure-storage",{"title":3650,"path":3651,"stem":3652},"Локальне сховище — AsyncStorage, MMKV, SQLite","\u002Freact-native\u002Fversion2\u002Flocal-storage-mmkv-sqlite","15.react-native\u002Fversion2\u002F19.local-storage-mmkv-sqlite",{"title":3654,"path":3655,"stem":3656},"Офлайн-First і синхронізація","\u002Freact-native\u002Fversion2\u002Foffline-first-sync","15.react-native\u002Fversion2\u002F20.offline-first-sync",{"title":3658,"path":3659,"stem":3660},"Камера, медіа та файлова система","\u002Freact-native\u002Fversion2\u002Fcamera-media-filesystem","15.react-native\u002Fversion2\u002F21.camera-media-filesystem",{"title":3662,"path":3663,"stem":3664},"Карти та геолокація","\u002Freact-native\u002Fversion2\u002Fmaps-and-location","15.react-native\u002Fversion2\u002F22.maps-and-location",{"title":3666,"path":3667,"stem":3668},"Жести та дотики","\u002Freact-native\u002Fversion2\u002Fgestures-and-touch","15.react-native\u002Fversion2\u002F23.gestures-and-touch",{"title":3670,"path":3671,"stem":3672},"Анімації з Reanimated","\u002Freact-native\u002Fversion2\u002Freanimated-animations","15.react-native\u002Fversion2\u002F24.reanimated-animations",{"title":3674,"path":3675,"stem":3676},"Push і локальні сповіщення","\u002Freact-native\u002Fversion2\u002Fpush-and-local-notifications","15.react-native\u002Fversion2\u002F25.push-and-local-notifications",{"title":3678,"path":3679,"stem":3680},"Інтернаціоналізація та доступність","\u002Freact-native\u002Fversion2\u002Faccessibility-and-i18n","15.react-native\u002Fversion2\u002F26.accessibility-and-i18n",{"title":3682,"path":3683,"stem":3684},"EAS Build та профілі збірки","\u002Freact-native\u002Fversion2\u002Feas-build-and-profiles","15.react-native\u002Fversion2\u002F29.eas-build-and-profiles",{"title":3686,"path":3687,"stem":3688},"Публікація в App Store та Google Play","\u002Freact-native\u002Fversion2\u002Fapp-store-play-release","15.react-native\u002Fversion2\u002F30.app-store-play-release",{"title":3690,"path":3691,"stem":3692,"children":3693,"page":59},"Ai Python","\u002Fai-python","16.ai-python",[3694,3703,3712,3721,3750,3776,3801,3834,3851,3864,3873,3886,3895,3916,3929,3950],{"title":3695,"path":3696,"stem":3697,"children":3698,"page":59},"Intro To Ai","\u002Fai-python\u002Fintro-to-ai","16.ai-python\u002F01.intro-to-ai",[3699],{"title":3700,"path":3701,"stem":3702},"Вступ до штучного інтелекту та машинного навчання","\u002Fai-python\u002Fintro-to-ai\u002Fintro-to-ai","16.ai-python\u002F01.intro-to-ai\u002F01.intro-to-ai",{"title":3704,"path":3705,"stem":3706,"children":3707,"page":59},"Jupyter Notebook","\u002Fai-python\u002Fjupyter-notebook","16.ai-python\u002F02.jupyter-notebook",[3708],{"title":3709,"path":3710,"stem":3711},"Знайомство з Jupyter Notebook та JupyterLab","\u002Fai-python\u002Fjupyter-notebook\u002Fjupyter-notebook","16.ai-python\u002F02.jupyter-notebook\u002F02.jupyter-notebook",{"title":3713,"path":3714,"stem":3715,"children":3716,"page":59},"Numpy Pandas","\u002Fai-python\u002Fnumpy-pandas","16.ai-python\u002F03.numpy-pandas",[3717],{"title":3718,"path":3719,"stem":3720},"Робота з даними з використанням NumPy і pandas","\u002Fai-python\u002Fnumpy-pandas\u002Fnumpy-pandas","16.ai-python\u002F03.numpy-pandas\u002F03.numpy-pandas",{"title":3722,"path":3723,"stem":3724,"children":3725,"page":59},"Statistics Basics","\u002Fai-python\u002Fstatistics-basics","16.ai-python\u002F04.statistics-basics",[3726,3730,3734,3738,3742,3746],{"title":3727,"path":3728,"stem":3729},"Випадкові величини та їх типи","\u002Fai-python\u002Fstatistics-basics\u002Frandom-variables","16.ai-python\u002F04.statistics-basics\u002F01.random-variables",{"title":3731,"path":3732,"stem":3733},"Міри центральної тенденції","\u002Fai-python\u002Fstatistics-basics\u002Fcentral-tendency","16.ai-python\u002F04.statistics-basics\u002F02.central-tendency",{"title":3735,"path":3736,"stem":3737},"Міри варіації (розсіювання)","\u002Fai-python\u002Fstatistics-basics\u002Fvariability","16.ai-python\u002F04.statistics-basics\u002F03.variability",{"title":3739,"path":3740,"stem":3741},"Розподіли випадкових величин","\u002Fai-python\u002Fstatistics-basics\u002Fdistributions","16.ai-python\u002F04.statistics-basics\u002F04.distributions",{"title":3743,"path":3744,"stem":3745},"Кореляція та взаємозв'язки","\u002Fai-python\u002Fstatistics-basics\u002Fcorrelation","16.ai-python\u002F04.statistics-basics\u002F05.correlation",{"title":3747,"path":3748,"stem":3749},"Викиди та аномалії","\u002Fai-python\u002Fstatistics-basics\u002Foutliers","16.ai-python\u002F04.statistics-basics\u002F06.outliers",{"title":3751,"path":3752,"stem":3753,"children":3754},"Візуалізація даних за допомогою matplotlib","\u002Fai-python\u002Fdata-visualization","16.ai-python\u002F05.data-visualization\u002Findex",[3755,3756,3760,3764,3768,3772],{"title":3751,"path":3752,"stem":3753},{"title":3757,"path":3758,"stem":3759},"Основи matplotlib — Figure, Axes та перший графік","\u002Fai-python\u002Fdata-visualization\u002Fmatplotlib-basics","16.ai-python\u002F05.data-visualization\u002F01.matplotlib-basics",{"title":3761,"path":3762,"stem":3763},"Візуалізація розподілів — гістограми та box plots","\u002Fai-python\u002Fdata-visualization\u002Fdistributions","16.ai-python\u002F05.data-visualization\u002F02.distributions",{"title":3765,"path":3766,"stem":3767},"Візуалізація залежностей — scatter plots та кореляція","\u002Fai-python\u002Fdata-visualization\u002Frelationships","16.ai-python\u002F05.data-visualization\u002F03.relationships",{"title":3769,"path":3770,"stem":3771},"Візуалізація категоріальних даних — bar charts та pie charts","\u002Fai-python\u002Fdata-visualization\u002Fcategorical","16.ai-python\u002F05.data-visualization\u002F04.categorical",{"title":3773,"path":3774,"stem":3775},"Композиції та стилізація — subplots та багатопанельні дашборди","\u002Fai-python\u002Fdata-visualization\u002Fsubplots-styling","16.ai-python\u002F05.data-visualization\u002F05.subplots-styling",{"title":3777,"path":3778,"stem":3779,"children":3780,"page":59},"Linear Regression","\u002Fai-python\u002Flinear-regression","16.ai-python\u002F06.linear-regression",[3781,3785,3789,3793,3797],{"title":3782,"path":3783,"stem":3784},"Регресійна задача та лінійна регресія з однією змінною","\u002Fai-python\u002Flinear-regression\u002Fregression-task","16.ai-python\u002F06.linear-regression\u002F01.regression-task",{"title":3786,"path":3787,"stem":3788},"Метрики якості регресії — як оцінити модель","\u002Fai-python\u002Flinear-regression\u002Fquality-metrics","16.ai-python\u002F06.linear-regression\u002F02.quality-metrics",{"title":3790,"path":3791,"stem":3792},"Градієнтний спуск — як модель навчається","\u002Fai-python\u002Flinear-regression\u002Fgradient-descent","16.ai-python\u002F06.linear-regression\u002F03.gradient-descent",{"title":3794,"path":3795,"stem":3796},"Множинна лінійна регресія — модель з багатьма ознаками","\u002Fai-python\u002Flinear-regression\u002Fmultiple-regression","16.ai-python\u002F06.linear-regression\u002F04.multiple-regression",{"title":3798,"path":3799,"stem":3800},"Практичні завдання та резюме модуля","\u002Fai-python\u002Flinear-regression\u002Fpractice","16.ai-python\u002F06.linear-regression\u002F05.practice",{"title":3802,"path":3803,"stem":3804,"children":3805,"page":59},"Practical Regression","\u002Fai-python\u002Fpractical-regression","16.ai-python\u002F07.practical-regression",[3806,3810,3814,3818,3822,3826,3830],{"title":3807,"path":3808,"stem":3809},"Знайомство з scikit-learn","\u002Fai-python\u002Fpractical-regression\u002Fintro-scikit-learn","16.ai-python\u002F07.practical-regression\u002F01.intro-scikit-learn",{"title":3811,"path":3812,"stem":3813},"Exploratory Data Analysis датасету Housing Prices","\u002Fai-python\u002Fpractical-regression\u002Fhousing-dataset-eda","16.ai-python\u002F07.practical-regression\u002F02.housing-dataset-eda",{"title":3815,"path":3816,"stem":3817},"Попередня обробка даних (Data Preprocessing)","\u002Fai-python\u002Fpractical-regression\u002Fdata-preprocessing","16.ai-python\u002F07.practical-regression\u002F03.data-preprocessing",{"title":3819,"path":3820,"stem":3821},"Train\u002FTest Split та перша повноцінна модель","\u002Fai-python\u002Fpractical-regression\u002Ftrain-test-split","16.ai-python\u002F07.practical-regression\u002F04.train-test-split",{"title":3823,"path":3824,"stem":3825},"Перенавчання та недонавчання","\u002Fai-python\u002Fpractical-regression\u002Foverfitting-underfitting","16.ai-python\u002F07.practical-regression\u002F05.overfitting-underfitting",{"title":3827,"path":3828,"stem":3829},"Крос-валідація (Cross-Validation)","\u002Fai-python\u002Fpractical-regression\u002Fcross-validation","16.ai-python\u002F07.practical-regression\u002F06.cross-validation",{"title":3831,"path":3832,"stem":3833},"Гіперпараметри та їх оптимізація","\u002Fai-python\u002Fpractical-regression\u002Fhyperparameter-tuning","16.ai-python\u002F07.practical-regression\u002F07.hyperparameter-tuning",{"title":3835,"path":3836,"stem":3837,"children":3838,"page":59},"Polynomial Regression","\u002Fai-python\u002Fpolynomial-regression","16.ai-python\u002F08.polynomial-regression",[3839,3843,3847],{"title":3840,"path":3841,"stem":3842},"Нелінійні залежності та поліноміальна регресія","\u002Fai-python\u002Fpolynomial-regression\u002Fnonlinear-patterns","16.ai-python\u002F08.polynomial-regression\u002F01.nonlinear-patterns",{"title":3844,"path":3845,"stem":3846},"Регуляризація в регресії — Ridge та Lasso","\u002Fai-python\u002Fpolynomial-regression\u002Fregularization-methods","16.ai-python\u002F08.polynomial-regression\u002F02.regularization-methods",{"title":3848,"path":3849,"stem":3850},"Практика — поліноміальна регресія та регуляризація на Housing Prices","\u002Fai-python\u002Fpolynomial-regression\u002Fhousing-prices-practice","16.ai-python\u002F08.polynomial-regression\u002F03.housing-prices-practice",{"title":3852,"path":3853,"stem":3854,"children":3855,"page":59},"Decision Trees Random Forest","\u002Fai-python\u002Fdecision-trees-random-forest","16.ai-python\u002F09.decision-trees-random-forest",[3856,3860],{"title":3857,"path":3858,"stem":3859},"Дерева рішень — моделі з прозорою та зрозумілою логікою","\u002Fai-python\u002Fdecision-trees-random-forest\u002Fdecision-trees","16.ai-python\u002F09.decision-trees-random-forest\u002F01.decision-trees",{"title":3861,"path":3862,"stem":3863},"Random Forest — ансамблі дерев рішень","\u002Fai-python\u002Fdecision-trees-random-forest\u002Frandom-forest","16.ai-python\u002F09.decision-trees-random-forest\u002F02.random-forest",{"title":3865,"path":3866,"stem":3867,"children":3868,"page":59},"Gradient Boosting","\u002Fai-python\u002Fgradient-boosting","16.ai-python\u002F10.gradient-boosting",[3869],{"title":3870,"path":3871,"stem":3872},"Градієнтний бустинг та XGBoost — послідовне виправлення помилок","\u002Fai-python\u002Fgradient-boosting\u002Fgradient-boosting-xgboost","16.ai-python\u002F10.gradient-boosting\u002F01.gradient-boosting-xgboost",{"title":3874,"path":3875,"stem":3876,"children":3877,"page":59},"Logistic Regression Classification","\u002Fai-python\u002Flogistic-regression-classification","16.ai-python\u002F11.logistic-regression-classification",[3878,3882],{"title":3879,"path":3880,"stem":3881},"Основи класифікації та логістична регресія","\u002Fai-python\u002Flogistic-regression-classification\u002Fclassification-basics","16.ai-python\u002F11.logistic-regression-classification\u002F01.classification-basics",{"title":3883,"path":3884,"stem":3885},"Метрики якості класифікації","\u002Fai-python\u002Flogistic-regression-classification\u002Fclassification-metrics","16.ai-python\u002F11.logistic-regression-classification\u002F02.classification-metrics",{"title":3887,"path":3888,"stem":3889,"children":3890,"page":59},"Neural Networks Basics","\u002Fai-python\u002Fneural-networks-basics","16.ai-python\u002F12.neural-networks-basics",[3891],{"title":3892,"path":3893,"stem":3894},"Вступ до нейронних мереж — від персептрона до багатошарових мереж","\u002Fai-python\u002Fneural-networks-basics\u002Fperceptron-to-mlp","16.ai-python\u002F12.neural-networks-basics\u002F01.perceptron-to-mlp",{"title":3896,"path":3897,"stem":3898,"children":3899,"page":59},"Pytorch Intro","\u002Fai-python\u002Fpytorch-intro","16.ai-python\u002F13.pytorch-intro",[3900,3904,3908,3912],{"title":3901,"path":3902,"stem":3903},"Тензори та автоматичне диференціювання в PyTorch","\u002Fai-python\u002Fpytorch-intro\u002Ftensors-and-autograd","16.ai-python\u002F13.pytorch-intro\u002F01.tensors-and-autograd",{"title":3905,"path":3906,"stem":3907},"Побудова та тренування нейронних мереж у PyTorch","\u002Fai-python\u002Fpytorch-intro\u002Fbuilding-and-training","16.ai-python\u002F13.pytorch-intro\u002F02.building-and-training",{"title":3909,"path":3910,"stem":3911},"Робота з даними та регуляризація в PyTorch","\u002Fai-python\u002Fpytorch-intro\u002Fdata-and-regularization","16.ai-python\u002F13.pytorch-intro\u002F03.data-and-regularization",{"title":3913,"path":3914,"stem":3915},"Просунуті теми PyTorch — GPU, оптимізація та deployment","\u002Fai-python\u002Fpytorch-intro\u002Fadvanced-topics","16.ai-python\u002F13.pytorch-intro\u002F04.advanced-topics",{"title":3917,"path":3918,"stem":3919,"children":3920,"page":59},"Activation Functions Heart Disease","\u002Fai-python\u002Factivation-functions-heart-disease","16.ai-python\u002F14.activation-functions-heart-disease",[3921,3925],{"title":3922,"path":3923,"stem":3924},"Функції активації та побудова нейронної мережі для передбачення вад серця","\u002Fai-python\u002Factivation-functions-heart-disease\u002Fheart-disease-prediction","16.ai-python\u002F14.activation-functions-heart-disease\u002F01.heart-disease-prediction",{"title":3926,"path":3927,"stem":3928},"Бонус — Повний приклад Student Performance Prediction","\u002Fai-python\u002Factivation-functions-heart-disease\u002Fstudent-performance-bonus","16.ai-python\u002F14.activation-functions-heart-disease\u002F02.student-performance-bonus",{"title":3930,"path":3931,"stem":3932,"children":3933,"page":59},"Cnn Image Classification","\u002Fai-python\u002Fcnn-image-classification","16.ai-python\u002F15.cnn-image-classification",[3934,3938,3942,3946],{"title":3935,"path":3936,"stem":3937},"Основи згорткових нейронних мереж — чому не MLP?","\u002Fai-python\u002Fcnn-image-classification\u002Fcnn-fundamentals","16.ai-python\u002F15.cnn-image-classification\u002F01.cnn-fundamentals",{"title":3939,"path":3940,"stem":3941},"Практична імплементація CNN для класифікації MNIST","\u002Fai-python\u002Fcnn-image-classification\u002Fmnist-classification","16.ai-python\u002F15.cnn-image-classification\u002F02.mnist-classification",{"title":3943,"path":3944,"stem":3945},"Глибші CNN та аугментація даних для CIFAR-10","\u002Fai-python\u002Fcnn-image-classification\u002Fcifar10-and-data-augmentation","16.ai-python\u002F15.cnn-image-classification\u002F03.cifar10-and-data-augmentation",{"title":3947,"path":3948,"stem":3949},"Transfer Learning та візуалізація внутрішніх представлень CNN","\u002Fai-python\u002Fcnn-image-classification\u002Ftransfer-learning-and-visualization","16.ai-python\u002F15.cnn-image-classification\u002F04.transfer-learning-and-visualization",{"title":3951,"path":3952,"stem":3953,"children":3954,"page":59},"Batching Normalization Deep Networks","\u002Fai-python\u002Fbatching-normalization-deep-networks","16.ai-python\u002F16.batching-normalization-deep-networks",[3955,3959,3963,3967,3971,3975,3979],{"title":3956,"path":3957,"stem":3958},"Mini-batch Gradient Descent та ефективна обробка даних","\u002Fai-python\u002Fbatching-normalization-deep-networks\u002Fmini-batch-gradient-descent","16.ai-python\u002F16.batching-normalization-deep-networks\u002F01.mini-batch-gradient-descent",{"title":3960,"path":3961,"stem":3962},"Ініціалізація ваг — фундамент стабільного навчання","\u002Fai-python\u002Fbatching-normalization-deep-networks\u002Fweight-initialization","16.ai-python\u002F16.batching-normalization-deep-networks\u002F02.weight-initialization",{"title":3964,"path":3965,"stem":3966},"Batch Normalization — прорив у глибокому навчанні","\u002Fai-python\u002Fbatching-normalization-deep-networks\u002Fbatch-normalization","16.ai-python\u002F16.batching-normalization-deep-networks\u002F03.batch-normalization",{"title":3968,"path":3969,"stem":3970},"Dropout та комбіновані стратегії регуляризації","\u002Fai-python\u002Fbatching-normalization-deep-networks\u002Fdropout-and-regularization","16.ai-python\u002F16.batching-normalization-deep-networks\u002F04.dropout-and-regularization",{"title":3972,"path":3973,"stem":3974},"Проєктування глибоких мереж — від теорії до практики","\u002Fai-python\u002Fbatching-normalization-deep-networks\u002Fdeep-networks-architectures","16.ai-python\u002F16.batching-normalization-deep-networks\u002F05.deep-networks-architectures",{"title":3976,"path":3977,"stem":3978},"Планування learning rate — коли та як зменшувати крок навчання","\u002Fai-python\u002Fbatching-normalization-deep-networks\u002Flearning-rate-scheduling","16.ai-python\u002F16.batching-normalization-deep-networks\u002F06.learning-rate-scheduling",{"title":3980,"path":3981,"stem":3982},"Підсумковий проєкт — побудова сучасного класифікатора зображень","\u002Fai-python\u002Fbatching-normalization-deep-networks\u002Ffinal-project-deep-classifier","16.ai-python\u002F16.batching-normalization-deep-networks\u002F07.final-project-deep-classifier",{"title":3984,"icon":658,"path":3985,"stem":3986,"children":3987,"page":59},"Клієнт-серверна архітектура","\u002Fclient-server-architecture","17.client-server-architecture",[3988,3992,3996,4000,4004,4008,4012,4016,4020,4024,4028,4032,4036,4040,4044,4048,4052,4056],{"title":3989,"path":3990,"stem":3991},"Архітектура клієнт-серверних систем та основи Go","\u002Fclient-server-architecture\u002Fclient-server-architecture-and-go","17.client-server-architecture\u002F01.client-server-architecture-and-go",{"title":3993,"path":3994,"stem":3995},"Система типів та модель пам’яті мови Go","\u002Fclient-server-architecture\u002Ftype-system-and-memory-model","17.client-server-architecture\u002F02.type-system-and-memory-model",{"title":3997,"path":3998,"stem":3999},"Інтерфейси та модель конкурентності мови Go","\u002Fclient-server-architecture\u002Finterfaces-and-concurrency-model","17.client-server-architecture\u002F03.interfaces-and-concurrency-model",{"title":4001,"path":4002,"stem":4003},"Сокетне програмування та протокол TCP у Go","\u002Fclient-server-architecture\u002Ftcp-socket-programming","17.client-server-architecture\u002F04.tcp-socket-programming",{"title":4005,"path":4006,"stem":4007},"Протокол UDP та датаграмна передача даних","\u002Fclient-server-architecture\u002Fudp-datagram-transmission","17.client-server-architecture\u002F05.udp-datagram-transmission",{"title":4009,"path":4010,"stem":4011},"Криптографічний захист каналів зв","\u002Fclient-server-architecture\u002Ftls-cryptographic-channel-protection","17.client-server-architecture\u002F06.tls-cryptographic-channel-protection",{"title":4013,"path":4014,"stem":4015},"Прикладні мережеві протоколи DNS та SMTP","\u002Fclient-server-architecture\u002Fdns-smtp-application-protocols","17.client-server-architecture\u002F07.dns-smtp-application-protocols",{"title":4017,"path":4018,"stem":4019},"Протокол HTTP та стандартний вебсервер Go","\u002Fclient-server-architecture\u002Fhttp-protocol-and-web-server","17.client-server-architecture\u002F08.http-protocol-and-web-server",{"title":4021,"path":4022,"stem":4023},"Проєктування REST API та маршрутизація засобами Chi","\u002Fclient-server-architecture\u002Frest-api-design-and-chi-routing","17.client-server-architecture\u002F09.rest-api-design-and-chi-routing",{"title":4025,"path":4026,"stem":4027},"Лекція 10. Шарувата архітектура та конвеєри обробки запитів","\u002Fclient-server-architecture\u002Flayered-architecture-and-middleware-pipelines","17.client-server-architecture\u002F10.layered-architecture-and-middleware-pipelines",{"title":4029,"path":4030,"stem":4031},"Лекція 11. Архітектура та маршрутизація фреймворку Gin","\u002Fclient-server-architecture\u002Fgin-framework-architecture-and-routing","17.client-server-architecture\u002F11.gin-framework-architecture-and-routing",{"title":4033,"path":4034,"stem":4035},"Лекція 12. Валідація даних, безпека та документування у Gin","\u002Fclient-server-architecture\u002Fdata-validation-security-and-documentation-in-gin","17.client-server-architecture\u002F12.data-validation-security-and-documentation-in-gin",{"title":4037,"path":4038,"stem":4039},"Лекція 13. Взаємодія з реляційними СУБД та технології ORM","\u002Fclient-server-architecture\u002Frelational-databases-and-orm","17.client-server-architecture\u002F13.relational-databases-and-orm",{"title":4041,"path":4042,"stem":4043},"Потокова передача даних та протокол WebSocket","\u002Fclient-server-architecture\u002Fstreaming-data-and-websockets","17.client-server-architecture\u002F14.streaming-data-and-websockets",{"title":4045,"path":4046,"stem":4047},"Міжсервісна взаємодія на основі протоколу gRPC","\u002Fclient-server-architecture\u002Fgrpc-inter-service-communication","17.client-server-architecture\u002F15.grpc-inter-service-communication",{"title":4049,"path":4050,"stem":4051},"Асинхронний обмін повідомленнями та протоколи черг","\u002Fclient-server-architecture\u002Fasynchronous-message-exchange-and-queue-protocols","17.client-server-architecture\u002F16.asynchronous-message-exchange-and-queue-protocols",{"title":4053,"path":4054,"stem":4055},"Протоколи потокового медіа та технологія WebRTC","\u002Fclient-server-architecture\u002Fstreaming-media-protocols-and-webrtc","17.client-server-architecture\u002F17.streaming-media-protocols-and-webrtc",{"title":4057,"path":4058,"stem":4059},"Моніторинг, безпека та контейнеризація застосунків","\u002Fclient-server-architecture\u002Fmonitoring-security-and-containerization","17.client-server-architecture\u002F18.monitoring-security-and-containerization",{"title":4061,"icon":2118,"path":4062,"stem":4063,"children":4064,"page":59},"Розробка WEB-застосувань","\u002Fweb-development","18.web-development",[4065,4110,4148,4177,4206,4263,4313,4407,4473,4555,4588,4616,4658,4704,4747],{"title":4066,"icon":658,"path":4067,"stem":4068,"children":4069,"page":59},"Архітектура комп'ютерних мереж та мережеві протоколи","\u002Fweb-development\u002Fnetwork-architecture-and-protocols","18.web-development\u002F01.network-architecture-and-protocols",[4070,4074,4078,4082,4086,4090,4094,4098,4102,4106],{"title":4071,"path":4072,"stem":4073},"Еволюція веброзробки та модель клієнт-сервер","\u002Fweb-development\u002Fnetwork-architecture-and-protocols\u002Fweb-evolution-client-server","18.web-development\u002F01.network-architecture-and-protocols\u002F01.web-evolution-client-server",{"title":4075,"path":4076,"stem":4077},"Еталонна модель OSI","\u002Fweb-development\u002Fnetwork-architecture-and-protocols\u002Fosi-model","18.web-development\u002F01.network-architecture-and-protocols\u002F02.osi-model",{"title":4079,"path":4080,"stem":4081},"Стек протоколів TCP\u002FIP","\u002Fweb-development\u002Fnetwork-architecture-and-protocols\u002Ftcp-ip-stack","18.web-development\u002F01.network-architecture-and-protocols\u002F03.tcp-ip-stack",{"title":4083,"path":4084,"stem":4085},"IP-адресація, порти та сокети","\u002Fweb-development\u002Fnetwork-architecture-and-protocols\u002Fip-addressing-ports-sockets","18.web-development\u002F01.network-architecture-and-protocols\u002F04.ip-addressing-ports-sockets",{"title":4087,"path":4088,"stem":4089},"Протоколи TCP та UDP","\u002Fweb-development\u002Fnetwork-architecture-and-protocols\u002Ftcp-udp-protocols","18.web-development\u002F01.network-architecture-and-protocols\u002F05.tcp-udp-protocols",{"title":4091,"path":4092,"stem":4093},"Система доменних імен DNS","\u002Fweb-development\u002Fnetwork-architecture-and-protocols\u002Fdns-system","18.web-development\u002F01.network-architecture-and-protocols\u002F06.dns-system",{"title":4095,"path":4096,"stem":4097},"Протокол SMTP та поштові протоколи","\u002Fweb-development\u002Fnetwork-architecture-and-protocols\u002Fsmtp-email-protocols","18.web-development\u002F01.network-architecture-and-protocols\u002F07.smtp-email-protocols",{"title":4099,"path":4100,"stem":4101},"Протокол WebSocket","\u002Fweb-development\u002Fnetwork-architecture-and-protocols\u002Fwebsocket-protocol","18.web-development\u002F01.network-architecture-and-protocols\u002F08.websocket-protocol",{"title":4103,"path":4104,"stem":4105},"Протокол SSH","\u002Fweb-development\u002Fnetwork-architecture-and-protocols\u002Fssh-protocol","18.web-development\u002F01.network-architecture-and-protocols\u002F09.ssh-protocol",{"title":4107,"path":4108,"stem":4109},"Огляд сучасних серверних технологій","\u002Fweb-development\u002Fnetwork-architecture-and-protocols\u002Fmodern-backend-technologies","18.web-development\u002F01.network-architecture-and-protocols\u002F10.modern-backend-technologies",{"title":4111,"icon":4112,"path":4113,"stem":4114,"children":4115,"page":59},"Протокол HTTP та захищена передача даних HTTPS","i-lucide-lock","\u002Fweb-development\u002Fhttp-and-https","18.web-development\u002F02.http-and-https",[4116,4120,4124,4128,4132,4136,4140,4144],{"title":4117,"path":4118,"stem":4119},"Вступ до протоколу HTTP та еволюція веб-технологій","\u002Fweb-development\u002Fhttp-and-https\u002Fintroduction-and-evolution","18.web-development\u002F02.http-and-https\u002F01.introduction-and-evolution",{"title":4121,"path":4122,"stem":4123},"Анатомія HTTP-запиту","\u002Fweb-development\u002Fhttp-and-https\u002Fhttp-request-structure","18.web-development\u002F02.http-and-https\u002F02.http-request-structure",{"title":4125,"path":4126,"stem":4127},"Анатомія HTTP-відповіді","\u002Fweb-development\u002Fhttp-and-https\u002Fhttp-response-structure","18.web-development\u002F02.http-and-https\u002F03.http-response-structure",{"title":4129,"path":4130,"stem":4131},"Методи HTTP та їхня семантика","\u002Fweb-development\u002Fhttp-and-https\u002Fhttp-methods","18.web-development\u002F02.http-and-https\u002F04.http-methods",{"title":4133,"path":4134,"stem":4135},"Коди статусу HTTP та їхнє призначення","\u002Fweb-development\u002Fhttp-and-https\u002Fhttp-status-codes","18.web-development\u002F02.http-and-https\u002F05.http-status-codes",{"title":4137,"path":4138,"stem":4139},"HTTP-заголовки та їхнє призначення","\u002Fweb-development\u002Fhttp-and-https\u002Fhttp-headers","18.web-development\u002F02.http-and-https\u002F06.http-headers",{"title":4141,"path":4142,"stem":4143},"CORS та механізми безпеки HTTP","\u002Fweb-development\u002Fhttp-and-https\u002Fcors-and-security","18.web-development\u002F02.http-and-https\u002F07.cors-and-security",{"title":4145,"path":4146,"stem":4147},"HTTPS та криптографічні основи TLS","\u002Fweb-development\u002Fhttp-and-https\u002Fhttps-and-tls","18.web-development\u002F02.http-and-https\u002F08.https-and-tls",{"title":4149,"icon":2498,"path":4150,"stem":4151,"children":4152,"page":59},"Система типів мови TypeScript","\u002Fweb-development\u002Ftypescript-type-system","18.web-development\u002F03.typescript-type-system",[4153,4157,4161,4165,4169,4173],{"title":4154,"path":4155,"stem":4156},"Знайомство з TypeScript Compiler","\u002Fweb-development\u002Ftypescript-type-system\u002Fintroduction-compiler-config","18.web-development\u002F03.typescript-type-system\u002F01.introduction-compiler-config",{"title":4158,"path":4159,"stem":4160},"Примітивні типи даних: string, number, boolean","\u002Fweb-development\u002Ftypescript-type-system\u002Fprimitive-special-types","18.web-development\u002F03.typescript-type-system\u002F02.primitive-special-types",{"title":4162,"path":4163,"stem":4164},"Масиви, кортежі та об","\u002Fweb-development\u002Ftypescript-type-system\u002Farrays-tuples-objects","18.web-development\u002F03.typescript-type-system\u002F03.arrays-tuples-objects",{"title":4166,"path":4167,"stem":4168},"Псевдоніми типів, Union типи, Intersection типи та літеральні типи","\u002Fweb-development\u002Ftypescript-type-system\u002Funion-intersection-literals","18.web-development\u002F03.typescript-type-system\u002F04.union-intersection-literals",{"title":4170,"path":4171,"stem":4172},"Type Narrowing (звуження типів)","\u002Fweb-development\u002Ftypescript-type-system\u002Ftype-narrowing","18.web-development\u002F03.typescript-type-system\u002F05.type-narrowing",{"title":4174,"path":4175,"stem":4176},"Типізація функцій","\u002Fweb-development\u002Ftypescript-type-system\u002Ffunctions-typing","18.web-development\u002F03.typescript-type-system\u002F06.functions-typing",{"title":4178,"icon":2498,"path":4179,"stem":4180,"children":4181,"page":59},"Розширені засоби мови TypeScript","\u002Fweb-development\u002Ftypescript-advanced","18.web-development\u002F04.typescript-advanced",[4182,4186,4190,4194,4198,4202],{"title":4183,"path":4184,"stem":4185},"Interfaces та Classes","\u002Fweb-development\u002Ftypescript-advanced\u002Finterfaces-classes","18.web-development\u002F04.typescript-advanced\u002F01.interfaces-classes",{"title":4187,"path":4188,"stem":4189},"Основи Generic типів","\u002Fweb-development\u002Ftypescript-advanced\u002Fgenerics-fundamentals","18.web-development\u002F04.typescript-advanced\u002F02.generics-fundamentals",{"title":4191,"path":4192,"stem":4193},"Enums та Decorators","\u002Fweb-development\u002Ftypescript-advanced\u002Fenums-decorators","18.web-development\u002F04.typescript-advanced\u002F03.enums-decorators",{"title":4195,"path":4196,"stem":4197},"Utility Types","\u002Fweb-development\u002Ftypescript-advanced\u002Futility-types","18.web-development\u002F04.typescript-advanced\u002F04.utility-types",{"title":4199,"path":4200,"stem":4201},"Mapped та Conditional Types","\u002Fweb-development\u002Ftypescript-advanced\u002Fmapped-conditional-types","18.web-development\u002F04.typescript-advanced\u002F05.mapped-conditional-types",{"title":4203,"path":4204,"stem":4205},"Модулі та Strict Mode","\u002Fweb-development\u002Ftypescript-advanced\u002Fmodules-strict-mode","18.web-development\u002F04.typescript-advanced\u002F06.modules-strict-mode",{"title":4207,"icon":4208,"path":4209,"stem":4210,"children":4211,"page":59},"Платформа Node.js як середовище виконання","i-devicon-nodejs","\u002Fweb-development\u002Fnodejs-platform","18.web-development\u002F05.nodejs-platform",[4212,4216,4220,4224,4228,4232,4236,4240,4244,4248,4252,4255,4259],{"title":4213,"path":4214,"stem":4215},"Що таке Node.js та його архітектура","\u002Fweb-development\u002Fnodejs-platform\u002Fwhat-is-nodejs","18.web-development\u002F05.nodejs-platform\u002F01.what-is-nodejs",{"title":4217,"path":4218,"stem":4219},"Event Loop — серце Node.js","\u002Fweb-development\u002Fnodejs-platform\u002Fevent-loop","18.web-development\u002F05.nodejs-platform\u002F02.event-loop",{"title":4221,"path":4222,"stem":4223},"Модульні системи: CommonJS vs ES Modules","\u002Fweb-development\u002Fnodejs-platform\u002Fmodule-systems","18.web-development\u002F05.nodejs-platform\u002F03.module-systems",{"title":4225,"path":4226,"stem":4227},"npm та package.json","\u002Fweb-development\u002Fnodejs-platform\u002Fnpm-package-json","18.web-development\u002F05.nodejs-platform\u002F04.npm-package-json",{"title":4229,"path":4230,"stem":4231},"Глобальні об\\","\u002Fweb-development\u002Fnodejs-platform\u002Fglobal-objects","18.web-development\u002F05.nodejs-platform\u002F05.global-objects",{"title":4233,"path":4234,"stem":4235},"Вбудований модуль fs (File System)","\u002Fweb-development\u002Fnodejs-platform\u002Fbuilt-in-modules-fs","18.web-development\u002F05.nodejs-platform\u002F06.built-in-modules-fs",{"title":4237,"path":4238,"stem":4239},"Вбудований модуль path","\u002Fweb-development\u002Fnodejs-platform\u002Fbuilt-in-modules-path","18.web-development\u002F05.nodejs-platform\u002F07.built-in-modules-path",{"title":4241,"path":4242,"stem":4243},"Вбудований модуль http","\u002Fweb-development\u002Fnodejs-platform\u002Fbuilt-in-modules-http","18.web-development\u002F05.nodejs-platform\u002F08.built-in-modules-http",{"title":4245,"path":4246,"stem":4247},"Streams — потоки даних у Node.js","\u002Fweb-development\u002Fnodejs-platform\u002Fstreams","18.web-development\u002F05.nodejs-platform\u002F09.streams",{"title":4249,"path":4250,"stem":4251},"Вбудований модуль util (Utilities)","\u002Fweb-development\u002Fnodejs-platform\u002Fbuilt-in-modules-util","18.web-development\u002F05.nodejs-platform\u002F10.built-in-modules-util",{"title":3141,"path":4253,"stem":4254},"\u002Fweb-development\u002Fnodejs-platform\u002Fenvironment-variables","18.web-development\u002F05.nodejs-platform\u002F11.environment-variables",{"title":4256,"path":4257,"stem":4258},"Інструменти налагодження та розробки","\u002Fweb-development\u002Fnodejs-platform\u002Fdebugging-tools","18.web-development\u002F05.nodejs-platform\u002F12.debugging-tools",{"title":4260,"path":4261,"stem":4262},"Продуктивність та Best Practices","\u002Fweb-development\u002Fnodejs-platform\u002Fperformance-best-practices","18.web-development\u002F05.nodejs-platform\u002F13.performance-best-practices",{"title":4264,"icon":4265,"path":4266,"stem":4267,"children":4268,"page":59},"Асинхронне програмування у Node.js","i-lucide-clock","\u002Fweb-development\u002Fasync-programming-nodejs","18.web-development\u002F06.async-programming-nodejs",[4269,4273,4277,4281,4285,4289,4293,4297,4301,4305,4309],{"title":4270,"path":4271,"stem":4272},"Синхронний vs асинхронний код","\u002Fweb-development\u002Fasync-programming-nodejs\u002Fsync-vs-async","18.web-development\u002F06.async-programming-nodejs\u002F01.sync-vs-async",{"title":4274,"path":4275,"stem":4276},"Callbacks — перша парадигма асинхронності","\u002Fweb-development\u002Fasync-programming-nodejs\u002Fcallbacks","18.web-development\u002F06.async-programming-nodejs\u002F02.callbacks",{"title":4278,"path":4279,"stem":4280},"Promises — стандарт асинхронності","\u002Fweb-development\u002Fasync-programming-nodejs\u002Fpromises","18.web-development\u002F06.async-programming-nodejs\u002F03.promises",{"title":4282,"path":4283,"stem":4284},"Promise комбінатори","\u002Fweb-development\u002Fasync-programming-nodejs\u002Fpromise-combinators","18.web-development\u002F06.async-programming-nodejs\u002F04.promise-combinators",{"title":4286,"path":4287,"stem":4288},"Async\u002FAwait — синтаксичний цукор над Promises","\u002Fweb-development\u002Fasync-programming-nodejs\u002Fasync-await","18.web-development\u002F06.async-programming-nodejs\u002F05.async-await",{"title":4290,"path":4291,"stem":4292},"Паралельне vs послідовне виконання","\u002Fweb-development\u002Fasync-programming-nodejs\u002Fparallel-vs-sequential","18.web-development\u002F06.async-programming-nodejs\u002F06.parallel-vs-sequential",{"title":4294,"path":4295,"stem":4296},"EventEmitter — подієва модель Node.js","\u002Fweb-development\u002Fasync-programming-nodejs\u002Fevent-emitter","18.web-development\u002F06.async-programming-nodejs\u002F07.event-emitter",{"title":4298,"path":4299,"stem":4300},"Worker Threads — багатопотоковість у Node.js","\u002Fweb-development\u002Fasync-programming-nodejs\u002Fworker-threads","18.web-development\u002F06.async-programming-nodejs\u002F08.worker-threads",{"title":4302,"path":4303,"stem":4304},"Child Processes — запуск зовнішніх процесів","\u002Fweb-development\u002Fasync-programming-nodejs\u002Fchild-processes","18.web-development\u002F06.async-programming-nodejs\u002F09.child-processes",{"title":4306,"path":4307,"stem":4308},"Обробка помилок у асинхронному коді","\u002Fweb-development\u002Fasync-programming-nodejs\u002Ferror-handling","18.web-development\u002F06.async-programming-nodejs\u002F10.error-handling",{"title":4310,"path":4311,"stem":4312},"Порівняння Node.js фреймворків","\u002Fweb-development\u002Fasync-programming-nodejs\u002Fnodejs-frameworks","18.web-development\u002F06.async-programming-nodejs\u002F11.nodejs-frameworks",{"title":4314,"icon":4315,"path":4316,"stem":4317,"children":4318,"page":59},"Тема 7. Фреймворк NestJS. Контролери та маршрутизація","i-lucide-route","\u002Fweb-development\u002Fnestjs-controllers-routing","18.web-development\u002F07.nestjs-controllers-routing",[4319,4323,4327,4331,4335,4339,4343,4347,4351,4355,4359,4363,4367,4371,4375,4379,4383,4387,4391,4395,4399,4403],{"title":4320,"path":4321,"stem":4322},"Філософія та архітектура NestJS","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fnestjs-philosophy","18.web-development\u002F07.nestjs-controllers-routing\u002F01.nestjs-philosophy",{"title":4324,"path":4325,"stem":4326},"Три стовпи архітектури: модулі, контролери, провайдери","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fthree-pillars","18.web-development\u002F07.nestjs-controllers-routing\u002F02.three-pillars",{"title":4328,"path":4329,"stem":4330},"Інверсія керування (IoC) та ін","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fioc-and-di","18.web-development\u002F07.nestjs-controllers-routing\u002F03.ioc-and-di",{"title":4332,"path":4333,"stem":4334},"Встановлення NestJS CLI та створення проєкту","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fnestjs-cli-setup","18.web-development\u002F07.nestjs-controllers-routing\u002F04.nestjs-cli-setup",{"title":4336,"path":4337,"stem":4338},"Структура проєкту NestJS та конвенції","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fproject-structure","18.web-development\u002F07.nestjs-controllers-routing\u002F05.project-structure",{"title":4340,"path":4341,"stem":4342},"Контролери: основи маршрутизації","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fcontrollers-basics","18.web-development\u002F07.nestjs-controllers-routing\u002F06.controllers-basics",{"title":4344,"path":4345,"stem":4346},"Декоратори маршрутизації HTTP-методів","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Froute-decorators","18.web-development\u002F07.nestjs-controllers-routing\u002F07.route-decorators",{"title":4348,"path":4349,"stem":4350},"Параметри маршруту та декоратор @Param","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Froute-parameters","18.web-development\u002F07.nestjs-controllers-routing\u002F08.route-parameters",{"title":4352,"path":4353,"stem":4354},"Query-параметри та декоратор @Query","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fquery-parameters","18.web-development\u002F07.nestjs-controllers-routing\u002F09.query-parameters",{"title":4356,"path":4357,"stem":4358},"Тіло запиту та декоратор @Body","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Frequest-body","18.web-development\u002F07.nestjs-controllers-routing\u002F10.request-body",{"title":4360,"path":4361,"stem":4362},"Робота з заголовками запиту та відповіді","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fheaders-decorators","18.web-development\u002F07.nestjs-controllers-routing\u002F11.headers-decorators",{"title":4364,"path":4365,"stem":4366},"Data Transfer Objects (DTO): визначення та призначення","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fdto-introduction","18.web-development\u002F07.nestjs-controllers-routing\u002F12.dto-introduction",{"title":4368,"path":4369,"stem":4370},"Об'єкти Request та Response","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Frequest-response-objects","18.web-development\u002F07.nestjs-controllers-routing\u002F13.request-response-objects",{"title":4372,"path":4373,"stem":4374},"HTTP-статус коди та декоратор @HttpCode","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fhttp-status-codes","18.web-development\u002F07.nestjs-controllers-routing\u002F14.http-status-codes",{"title":4376,"path":4377,"stem":4378},"Перенаправлення (Redirects) та декоратор @Redirect","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fredirects","18.web-development\u002F07.nestjs-controllers-routing\u002F15.redirects",{"title":4380,"path":4381,"stem":4382},"Асинхронні обробники та Observables","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fasync-handlers","18.web-development\u002F07.nestjs-controllers-routing\u002F16.async-handlers",{"title":4384,"path":4385,"stem":4386},"Маршрутизація за піддоменами та версіонування API","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fsub-domain-routing","18.web-development\u002F07.nestjs-controllers-routing\u002F17.sub-domain-routing",{"title":4388,"path":4389,"stem":4390},"Області видимості контролерів (Scopes)","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fcontroller-scopes","18.web-development\u002F07.nestjs-controllers-routing\u002F18.controller-scopes",{"title":4392,"path":4393,"stem":4394},"Основні команди NestJS CLI","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fnestjs-cli-commands","18.web-development\u002F07.nestjs-controllers-routing\u002F19.nestjs-cli-commands",{"title":4396,"path":4397,"stem":4398},"Практичний приклад: створення CRUD-контролера","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fcrud-example","18.web-development\u002F07.nestjs-controllers-routing\u002F20.crud-example",{"title":4400,"path":4401,"stem":4402},"Тестування контролерів","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Ftesting-controllers","18.web-development\u002F07.nestjs-controllers-routing\u002F21.testing-controllers",{"title":4404,"path":4405,"stem":4406},"Best Practices для контролерів та маршрутизації","\u002Fweb-development\u002Fnestjs-controllers-routing\u002Fbest-practices","18.web-development\u002F07.nestjs-controllers-routing\u002F22.best-practices",{"title":4408,"icon":4409,"path":4410,"stem":4411,"children":4412,"page":59},"Тема 8. Провайдери, сервіси та модульна система NestJS","i-lucide-package","\u002Fweb-development\u002Fnestjs-providers-modules","18.web-development\u002F08.nestjs-providers-modules",[4413,4417,4421,4425,4429,4433,4437,4441,4445,4449,4453,4457,4461,4465,4469],{"title":4414,"path":4415,"stem":4416},"Концепція провайдерів у NestJS","\u002Fweb-development\u002Fnestjs-providers-modules\u002Fproviders-concept","18.web-development\u002F08.nestjs-providers-modules\u002F01.providers-concept",{"title":4418,"path":4419,"stem":4420},"Сервіси: інкапсуляція бізнес-логіки","\u002Fweb-development\u002Fnestjs-providers-modules\u002Fservices-business-logic","18.web-development\u002F08.nestjs-providers-modules\u002F02.services-business-logic",{"title":4422,"path":4423,"stem":4424},"Практика ін","\u002Fweb-development\u002Fnestjs-providers-modules\u002Fdependency-injection-practice","18.web-development\u002F08.nestjs-providers-modules\u002F03.dependency-injection-practice",{"title":4426,"path":4427,"stem":4428},"Custom Providers: useValue, useClass, useFactory, useExisting","\u002Fweb-development\u002Fnestjs-providers-modules\u002Fcustom-providers","18.web-development\u002F08.nestjs-providers-modules\u002F04.custom-providers",{"title":4430,"path":4431,"stem":4432},"Injection Tokens: рядкові та символьні токени","\u002Fweb-development\u002Fnestjs-providers-modules\u002Finjection-tokens","18.web-development\u002F08.nestjs-providers-modules\u002F05.injection-tokens",{"title":4434,"path":4435,"stem":4436},"Опціональні провайдери та декоратор @Optional","\u002Fweb-development\u002Fnestjs-providers-modules\u002Foptional-providers","18.web-development\u002F08.nestjs-providers-modules\u002F07.optional-providers",{"title":4438,"path":4439,"stem":4440},"Структура модулів: imports, controllers, providers, exports","\u002Fweb-development\u002Fnestjs-providers-modules\u002Fmodules-structure","18.web-development\u002F08.nestjs-providers-modules\u002F08.modules-structure",{"title":4442,"path":4443,"stem":4444},"Feature Modules: ізоляція функціональності","\u002Fweb-development\u002Fnestjs-providers-modules\u002Ffeature-modules","18.web-development\u002F08.nestjs-providers-modules\u002F09.feature-modules",{"title":4446,"path":4447,"stem":4448},"Shared Modules: перевикористання провайдерів","\u002Fweb-development\u002Fnestjs-providers-modules\u002Fshared-modules","18.web-development\u002F08.nestjs-providers-modules\u002F10.shared-modules",{"title":4450,"path":4451,"stem":4452},"Global Modules та декоратор @Global","\u002Fweb-development\u002Fnestjs-providers-modules\u002Fglobal-modules","18.web-development\u002F08.nestjs-providers-modules\u002F11.global-modules",{"title":4454,"path":4455,"stem":4456},"Dynamic Modules: конфігурація під час виконання","\u002Fweb-development\u002Fnestjs-providers-modules\u002Fdynamic-modules","18.web-development\u002F08.nestjs-providers-modules\u002F12.dynamic-modules",{"title":4458,"path":4459,"stem":4460},"Циклічні залежності та forwardRef","\u002Fweb-development\u002Fnestjs-providers-modules\u002Fcircular-dependencies","18.web-development\u002F08.nestjs-providers-modules\u002F13.circular-dependencies",{"title":4462,"path":4463,"stem":4464},"Lifecycle Hooks: хуки життєвого циклу","\u002Fweb-development\u002Fnestjs-providers-modules\u002Flifecycle-hooks","18.web-development\u002F08.nestjs-providers-modules\u002F14.lifecycle-hooks",{"title":4466,"path":4467,"stem":4468},"ModuleRef: динамічний доступ до провайдерів","\u002Fweb-development\u002Fnestjs-providers-modules\u002Fmodule-reference","18.web-development\u002F08.nestjs-providers-modules\u002F15.module-reference",{"title":4470,"path":4471,"stem":4472},"Тестування сервісів та провайдерів","\u002Fweb-development\u002Fnestjs-providers-modules\u002Ftesting-services","18.web-development\u002F08.nestjs-providers-modules\u002F16.testing-services",{"title":4474,"icon":4475,"path":4476,"stem":4477,"children":4478,"page":59},"Тема 9. Валідація даних та конвеєр обробки запитів у NestJS","i-lucide-filter","\u002Fweb-development\u002Fnestjs-validation-pipeline","18.web-development\u002F09.nestjs-validation-pipeline",[4479,4483,4487,4491,4495,4499,4503,4507,4511,4515,4519,4523,4527,4531,4535,4539,4543,4547,4551],{"title":4480,"path":4481,"stem":4482},"Request Pipeline: конвеєр обробки запитів","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Frequest-pipeline","18.web-development\u002F09.nestjs-validation-pipeline\u002F01.request-pipeline",{"title":4484,"path":4485,"stem":4486},"Pipes: концепція трансформації та валідації","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fpipes-concept","18.web-development\u002F09.nestjs-validation-pipeline\u002F02.pipes-concept",{"title":4488,"path":4489,"stem":4490},"Вбудовані pipes: ParseIntPipe, ParseBoolPipe, ParseUUIDPipe","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fbuilt-in-pipes","18.web-development\u002F09.nestjs-validation-pipeline\u002F03.built-in-pipes",{"title":4492,"path":4493,"stem":4494},"ValidationPipe: автоматична валідація DTO","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fvalidation-pipe","18.web-development\u002F09.nestjs-validation-pipeline\u002F04.validation-pipe",{"title":4496,"path":4497,"stem":4498},"Декоратори class-validator для DTO","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fclass-validator-decorators","18.web-development\u002F09.nestjs-validation-pipeline\u002F05.class-validator-decorators",{"title":4500,"path":4501,"stem":4502},"Створення кастомних валідаторів","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fcustom-validators","18.web-development\u002F09.nestjs-validation-pipeline\u002F06.custom-validators",{"title":4504,"path":4505,"stem":4506},"Створення власних Pipes","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fcustom-pipes","18.web-development\u002F09.nestjs-validation-pipeline\u002F07.custom-pipes",{"title":4508,"path":4509,"stem":4510},"Основи Middleware","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fmiddleware-basics","18.web-development\u002F09.nestjs-validation-pipeline\u002F08.middleware-basics",{"title":4512,"path":4513,"stem":4514},"Практичні приклади Middleware","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fmiddleware-examples","18.web-development\u002F09.nestjs-validation-pipeline\u002F09.middleware-examples",{"title":4516,"path":4517,"stem":4518},"Guards: захисні перехоплювачі доступу","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fguards-concept","18.web-development\u002F09.nestjs-validation-pipeline\u002F10.guards-concept",{"title":4520,"path":4521,"stem":4522},"Створення кастомних Guards","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fcustom-guards","18.web-development\u002F09.nestjs-validation-pipeline\u002F11.custom-guards",{"title":4524,"path":4525,"stem":4526},"Interceptors: перехоплення та трансформація відповідей","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Finterceptors-concept","18.web-development\u002F09.nestjs-validation-pipeline\u002F12.interceptors-concept",{"title":4528,"path":4529,"stem":4530},"Практичні приклади Interceptors","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Finterceptor-examples","18.web-development\u002F09.nestjs-validation-pipeline\u002F13.interceptor-examples",{"title":4532,"path":4533,"stem":4534},"Exception Filters: обробка виключень","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fexception-filters","18.web-development\u002F09.nestjs-validation-pipeline\u002F14.exception-filters",{"title":4536,"path":4537,"stem":4538},"Custom Exception Filters: спеціалізовані фільтри","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fcustom-exception-filters","18.web-development\u002F09.nestjs-validation-pipeline\u002F15.custom-exception-filters",{"title":4540,"path":4541,"stem":4542},"Execution Context: контекст виконання","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fexecution-context","18.web-development\u002F09.nestjs-validation-pipeline\u002F16.execution-context",{"title":4544,"path":4545,"stem":4546},"Custom Decorators: власні декоратори","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fcustom-decorators","18.web-development\u002F09.nestjs-validation-pipeline\u002F17.custom-decorators",{"title":4548,"path":4549,"stem":4550},"Global Components: глобальні компоненти","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fglobal-components","18.web-development\u002F09.nestjs-validation-pipeline\u002F18.global-components",{"title":4552,"path":4553,"stem":4554},"Pipeline Best Practices: найкращі практики","\u002Fweb-development\u002Fnestjs-validation-pipeline\u002Fpipeline-best-practices","18.web-development\u002F09.nestjs-validation-pipeline\u002F19.pipeline-best-practices",{"title":4556,"icon":2865,"path":4557,"stem":4558,"children":4559,"page":59},"Інтеграція реляційних баз даних засобами TypeORM","\u002Fweb-development\u002Ftypeorm-integration","18.web-development\u002F10.typeorm-integration",[4560,4564,4568,4572,4576,4580,4584],{"title":4561,"path":4562,"stem":4563},"Робота з базами даних у Node.js через нативні драйвери","\u002Fweb-development\u002Ftypeorm-integration\u002F01-nodejs-database-drivers","18.web-development\u002F10.typeorm-integration\u002F01-nodejs-database-drivers",{"title":4565,"path":4566,"stem":4567},"ORM та знайомство з TypeORM","\u002Fweb-development\u002Ftypeorm-integration\u002F02-orm-and-typeorm-intro","18.web-development\u002F10.typeorm-integration\u002F02-orm-and-typeorm-intro",{"title":4569,"path":4570,"stem":4571},"Налаштування TypeORM у NestJS проєкті","\u002Fweb-development\u002Ftypeorm-integration\u002F03-typeorm-setup-nestjs","18.web-development\u002F10.typeorm-integration\u002F03-typeorm-setup-nestjs",{"title":4573,"path":4574,"stem":4575},"Entity класи та декоратори TypeORM","\u002Fweb-development\u002Ftypeorm-integration\u002F04-entities-and-decorators","18.web-development\u002F10.typeorm-integration\u002F04-entities-and-decorators",{"title":4577,"path":4578,"stem":4579},"Repository Pattern та CRUD операції","\u002Fweb-development\u002Ftypeorm-integration\u002F05-repository-pattern-crud","18.web-development\u002F10.typeorm-integration\u002F05-repository-pattern-crud",{"title":4581,"path":4582,"stem":4583},"Пагінація та фільтрація даних","\u002Fweb-development\u002Ftypeorm-integration\u002F06-pagination-filtering","18.web-development\u002F10.typeorm-integration\u002F06-pagination-filtering",{"title":4585,"path":4586,"stem":4587},"QueryBuilder для складних запитів","\u002Fweb-development\u002Ftypeorm-integration\u002F07-query-builder","18.web-development\u002F10.typeorm-integration\u002F07-query-builder",{"title":4589,"icon":4590,"path":4591,"stem":4592,"children":4593,"page":59},"Зв'язки між сутностями, міграції та оптимізація запитів","i-lucide-git-branch","\u002Fweb-development\u002Fentity-relations-migrations","18.web-development\u002F11.entity-relations-migrations",[4594,4598,4602,4606,4610],{"title":4595,"path":4596,"stem":4597},"Зв'язки One-to-Many та Many-to-One","\u002Fweb-development\u002Fentity-relations-migrations\u002F01-one-to-many-many-to-one","18.web-development\u002F11.entity-relations-migrations\u002F01-one-to-many-many-to-one",{"title":4599,"path":4600,"stem":4601},"Зв'язки One-to-One та Many-to-Many","\u002Fweb-development\u002Fentity-relations-migrations\u002F02-one-to-one-many-to-many","18.web-development\u002F11.entity-relations-migrations\u002F02-one-to-one-many-to-many",{"title":4603,"path":4604,"stem":4605},"Керування міграціями бази даних","\u002Fweb-development\u002Fentity-relations-migrations\u002F03-migrations-management","18.web-development\u002F11.entity-relations-migrations\u002F03-migrations-management",{"title":4607,"path":4608,"stem":4609},"Транзакції у TypeORM","\u002Fweb-development\u002Fentity-relations-migrations\u002F04-transactions","18.web-development\u002F11.entity-relations-migrations\u002F04-transactions",{"title":4611,"path":4612,"stem":4613,"children":4614},"Індекси та оптимізація запитів","\u002Fweb-development\u002Fentity-relations-migrations\u002F05-indexes-optimization","18.web-development\u002F11.entity-relations-migrations\u002F05-indexes-optimization",[4615],{"title":4611,"path":4612,"stem":4613},{"title":4617,"icon":4618,"path":4619,"stem":4620,"children":4621,"page":59},"Механізми автентифікації у вебзастосунках","i-lucide-key","\u002Fweb-development\u002Fauthentication","18.web-development\u002F12.authentication",[4622,4626,4630,4634,4638,4642,4646,4650,4654],{"title":4623,"path":4624,"stem":4625},"Автентифікація vs Авторизація","\u002Fweb-development\u002Fauthentication\u002F01-authentication-vs-authorization","18.web-development\u002F12.authentication\u002F01-authentication-vs-authorization",{"title":4627,"path":4628,"stem":4629},"Стратегії автентифікації","\u002Fweb-development\u002Fauthentication\u002F02-authentication-strategies","18.web-development\u002F12.authentication\u002F02-authentication-strategies",{"title":4631,"path":4632,"stem":4633},"Автентифікація на основі сесій","\u002Fweb-development\u002Fauthentication\u002F03-session-based-authentication","18.web-development\u002F12.authentication\u002F03-session-based-authentication",{"title":4635,"path":4636,"stem":4637},"Структура JSON Web Token (JWT)","\u002Fweb-development\u002Fauthentication\u002F04-jwt-structure","18.web-development\u002F12.authentication\u002F04-jwt-structure",{"title":4639,"path":4640,"stem":4641},"Інтеграція JWT у NestJS","\u002Fweb-development\u002Fauthentication\u002F05-nestjs-jwt-integration","18.web-development\u002F12.authentication\u002F05-nestjs-jwt-integration",{"title":4643,"path":4644,"stem":4645},"Passport.js стратегії у NestJS","\u002Fweb-development\u002Fauthentication\u002F06-passport-strategies","18.web-development\u002F12.authentication\u002F06-passport-strategies",{"title":4647,"path":4648,"stem":4649},"Безпечне зберігання паролів: хешування та криптографічний захист","\u002Fweb-development\u002Fauthentication\u002F07-password-hashing","18.web-development\u002F12.authentication\u002F07-password-hashing",{"title":4651,"path":4652,"stem":4653},"Refresh Token та безпечне оновлення доступу","\u002Fweb-development\u002Fauthentication\u002F08-refresh-tokens","18.web-development\u002F12.authentication\u002F08-refresh-tokens",{"title":4655,"path":4656,"stem":4657},"OAuth 2.0 та OpenID Connect: делегована автентифікація","\u002Fweb-development\u002Fauthentication\u002F09-oauth2-openid","18.web-development\u002F12.authentication\u002F09-oauth2-openid",{"title":4659,"icon":4660,"path":4661,"stem":4662,"children":4663,"page":59},"Авторизація та безпека серверних застосунків","i-lucide-shield","\u002Fweb-development\u002Fauthorization-security","18.web-development\u002F13.authorization-security",[4664,4668,4672,4676,4680,4684,4688,4692,4696,4700],{"title":4665,"path":4666,"stem":4667},"Моделі авторизації","\u002Fweb-development\u002Fauthorization-security\u002F01-authorization-models","18.web-development\u002F13.authorization-security\u002F01-authorization-models",{"title":4669,"path":4670,"stem":4671},"Реалізація RBAC у NestJS","\u002Fweb-development\u002Fauthorization-security\u002F02-rbac-implementation","18.web-development\u002F13.authorization-security\u002F02-rbac-implementation",{"title":4673,"path":4674,"stem":4675},"Permission-Based Access Control","\u002Fweb-development\u002Fauthorization-security\u002F03-permission-based-access","18.web-development\u002F13.authorization-security\u002F03-permission-based-access",{"title":4677,"path":4678,"stem":4679},"ABAC та бібліотека CASL","\u002Fweb-development\u002Fauthorization-security\u002F04-abac-casl","18.web-development\u002F13.authorization-security\u002F04-abac-casl",{"title":4681,"path":4682,"stem":4683},"Кастомні декоратори та метадані","\u002Fweb-development\u002Fauthorization-security\u002F05-custom-decorators-metadata","18.web-development\u002F13.authorization-security\u002F05-custom-decorators-metadata",{"title":4685,"path":4686,"stem":4687},"Конфігурація CORS","\u002Fweb-development\u002Fauthorization-security\u002F06-cors-configuration","18.web-development\u002F13.authorization-security\u002F06-cors-configuration",{"title":4689,"path":4690,"stem":4691},"Захист через HTTP Security Headers (Helmet)","\u002Fweb-development\u002Fauthorization-security\u002F07-helmet-security-headers","18.web-development\u002F13.authorization-security\u002F07-helmet-security-headers",{"title":4693,"path":4694,"stem":4695},"Rate Limiting та Throttling","\u002Fweb-development\u002Fauthorization-security\u002F08-rate-limiting-throttling","18.web-development\u002F13.authorization-security\u002F08-rate-limiting-throttling",{"title":4697,"path":4698,"stem":4699},"Захист від поширених атак","\u002Fweb-development\u002Fauthorization-security\u002F09-common-attacks-protection","18.web-development\u002F13.authorization-security\u002F09-common-attacks-protection",{"title":4701,"path":4702,"stem":4703},"HTTPS у продакшені","\u002Fweb-development\u002Fauthorization-security\u002F10-https-production","18.web-development\u002F13.authorization-security\u002F10-https-production",{"title":4705,"icon":871,"path":4706,"stem":4707,"children":4708,"page":59},"Комунікація у реальному часі, нотифікації та фонові задачі","\u002Fweb-development\u002Frealtime-notifications-jobs","18.web-development\u002F14.realtime-notifications-jobs",[4709,4713,4717,4721,4725,4729,4732,4735,4739,4743],{"title":4710,"path":4711,"stem":4712},"Методи комунікації у реальному часі","\u002Fweb-development\u002Frealtime-notifications-jobs\u002F01-realtime-communication-methods","18.web-development\u002F14.realtime-notifications-jobs\u002F01-realtime-communication-methods",{"title":4714,"path":4715,"stem":4716},"WebSocket Gateway у NestJS","\u002Fweb-development\u002Frealtime-notifications-jobs\u002F02-websocket-gateway","18.web-development\u002F14.realtime-notifications-jobs\u002F02-websocket-gateway",{"title":4718,"path":4719,"stem":4720},"Lifecycle та Rooms у WebSocket","\u002Fweb-development\u002Frealtime-notifications-jobs\u002F03-websocket-lifecycle-rooms","18.web-development\u002F14.realtime-notifications-jobs\u002F03-websocket-lifecycle-rooms",{"title":4722,"path":4723,"stem":4724},"Server-Sent Events (SSE)","\u002Fweb-development\u002Frealtime-notifications-jobs\u002F04-server-sent-events","18.web-development\u002F14.realtime-notifications-jobs\u002F04-server-sent-events",{"title":4726,"path":4727,"stem":4728},"Архітектура системи нотифікацій","\u002Fweb-development\u002Frealtime-notifications-jobs\u002F05-notification-system","18.web-development\u002F14.realtime-notifications-jobs\u002F05-notification-system",{"title":904,"path":4730,"stem":4731},"\u002Fweb-development\u002Frealtime-notifications-jobs\u002F06-email-notifications","18.web-development\u002F14.realtime-notifications-jobs\u002F06-email-notifications",{"title":900,"path":4733,"stem":4734},"\u002Fweb-development\u002Frealtime-notifications-jobs\u002F07-web-push-notifications","18.web-development\u002F14.realtime-notifications-jobs\u002F07-web-push-notifications",{"title":4736,"path":4737,"stem":4738},"Фонові задачі та черги","\u002Fweb-development\u002Frealtime-notifications-jobs\u002F08-background-jobs-queues","18.web-development\u002F14.realtime-notifications-jobs\u002F08-background-jobs-queues",{"title":4740,"path":4741,"stem":4742},"Планувальники та Cron jobs","\u002Fweb-development\u002Frealtime-notifications-jobs\u002F09-schedulers-cron","18.web-development\u002F14.realtime-notifications-jobs\u002F09-schedulers-cron",{"title":4744,"path":4745,"stem":4746},"Практичні сценарії застосування","\u002Fweb-development\u002Frealtime-notifications-jobs\u002F10-practical-scenarios","18.web-development\u002F14.realtime-notifications-jobs\u002F10-practical-scenarios",{"title":4748,"icon":4749,"path":4750,"stem":4751,"children":4752,"page":59},"Тестування, документування та розгортання застосунків","i-lucide-rocket","\u002Fweb-development\u002Ftesting-documentation-deployment","18.web-development\u002F15.testing-documentation-deployment",[4753,4757,4761,4765,4769,4773,4777,4781,4785,4789],{"title":4754,"path":4755,"stem":4756},"Піраміда тестування та стратегія","\u002Fweb-development\u002Ftesting-documentation-deployment\u002F01-testing-pyramid-strategy","18.web-development\u002F15.testing-documentation-deployment\u002F01-testing-pyramid-strategy",{"title":4758,"path":4759,"stem":4760},"Основи Jest у NestJS","\u002Fweb-development\u002Ftesting-documentation-deployment\u002F02-jest-nestjs-basics","18.web-development\u002F15.testing-documentation-deployment\u002F02-jest-nestjs-basics",{"title":4762,"path":4763,"stem":4764},"Unit-тестування сервісів","\u002Fweb-development\u002Ftesting-documentation-deployment\u002F03-unit-testing-services","18.web-development\u002F15.testing-documentation-deployment\u002F03-unit-testing-services",{"title":4766,"path":4767,"stem":4768},"E2E тестування та покриття коду","\u002Fweb-development\u002Ftesting-documentation-deployment\u002F04-e2e-testing-coverage","18.web-development\u002F15.testing-documentation-deployment\u002F04-e2e-testing-coverage",{"title":4770,"path":4771,"stem":4772},"Swagger, OpenAPI, Scalar та Arazzo","\u002Fweb-development\u002Ftesting-documentation-deployment\u002F05-swagger-openapi","18.web-development\u002F15.testing-documentation-deployment\u002F05-swagger-openapi",{"title":4774,"path":4775,"stem":4776},"Керування конфігурацією","\u002Fweb-development\u002Ftesting-documentation-deployment\u002F06-configuration-management","18.web-development\u002F15.testing-documentation-deployment\u002F06-configuration-management",{"title":4778,"path":4779,"stem":4780},"Docker та контейнеризація","\u002Fweb-development\u002Ftesting-documentation-deployment\u002F07-docker-containerization","18.web-development\u002F15.testing-documentation-deployment\u002F07-docker-containerization",{"title":4782,"path":4783,"stem":4784},"CI\u002FCD Pipelines","\u002Fweb-development\u002Ftesting-documentation-deployment\u002F08-cicd-pipelines","18.web-development\u002F15.testing-documentation-deployment\u002F08-cicd-pipelines",{"title":4786,"path":4787,"stem":4788},"Логування та моніторинг","\u002Fweb-development\u002Ftesting-documentation-deployment\u002F09-logging-monitoring","18.web-development\u002F15.testing-documentation-deployment\u002F09-logging-monitoring",{"title":4790,"path":4791,"stem":4792},"Серіалізація та компресія","\u002Fweb-development\u002Ftesting-documentation-deployment\u002F10-serialization-compression","18.web-development\u002F15.testing-documentation-deployment\u002F10-serialization-compression",{"title":4794,"icon":4795,"path":4796,"stem":4797,"children":4798,"page":59},"AI Core: мислення AI","i-lucide-brain","\u002Fai-core","19.ai-core",[4799,4840,4889,4927],{"title":4800,"icon":4749,"path":4801,"stem":4802,"children":4803,"page":59},"Вхід у професію AI Native Developer","\u002Fai-core\u002Fai-native-developer","19.ai-core\u002F01.ai-native-developer",[4804,4808,4812,4816,4820,4824,4828,4832,4836],{"title":4805,"path":4806,"stem":4807},"Вступ до професії розробника цифрових продуктів","\u002Fai-core\u002Fai-native-developer\u002Fdigital-products","19.ai-core\u002F01.ai-native-developer\u002F01.digital-products",{"title":4809,"path":4810,"stem":4811},"Професія розробника програмного забезпечення","\u002Fai-core\u002Fai-native-developer\u002Fsoftware-developer","19.ai-core\u002F01.ai-native-developer\u002F02.software-developer",{"title":4813,"path":4814,"stem":4815},"Професія AI Native Developer","\u002Fai-core\u002Fai-native-developer\u002Fai-native-developer","19.ai-core\u002F01.ai-native-developer\u002F03.ai-native-developer",{"title":4817,"path":4818,"stem":4819},"Вплив AI на розробку програмного забезпечення","\u002Fai-core\u002Fai-native-developer\u002Fai-impact-on-development","19.ai-core\u002F01.ai-native-developer\u002F04.ai-impact-on-development",{"title":4821,"path":4822,"stem":4823},"Життєвий цикл цифрового продукту","\u002Fai-core\u002Fai-native-developer\u002Fproduct-lifecycle","19.ai-core\u002F01.ai-native-developer\u002F05.product-lifecycle",{"title":4825,"path":4826,"stem":4827},"Застосування AI на етапах створення цифрового продукту","\u002Fai-core\u002Fai-native-developer\u002Fai-in-product-creation","19.ai-core\u002F01.ai-native-developer\u002F06.ai-in-product-creation",{"title":4829,"path":4830,"stem":4831},"Розподіл завдань між людиною та AI","\u002Fai-core\u002Fai-native-developer\u002Fhuman-vs-ai-tasks","19.ai-core\u002F01.ai-native-developer\u002F07.human-vs-ai-tasks",{"title":4833,"path":4834,"stem":4835},"Компетенції AI Native Developer","\u002Fai-core\u002Fai-native-developer\u002Fcompetencies","19.ai-core\u002F01.ai-native-developer\u002F08.competencies",{"title":4837,"path":4838,"stem":4839},"Карта професійного розвитку AI Native Developer","\u002Fai-core\u002Fai-native-developer\u002Fcareer-roadmap","19.ai-core\u002F01.ai-native-developer\u002F09.career-roadmap",{"title":4841,"icon":255,"path":4842,"stem":4843,"children":4844,"page":59},"Штучний інтелект і машинне навчання","\u002Fai-core\u002Fai-and-machine-learning","19.ai-core\u002F02.ai-and-machine-learning",[4845,4849,4853,4857,4861,4865,4869,4873,4877,4881,4885],{"title":4846,"path":4847,"stem":4848},"Штучний інтелект","\u002Fai-core\u002Fai-and-machine-learning\u002Fwhat-is-ai","19.ai-core\u002F02.ai-and-machine-learning\u002F01.what-is-ai",{"title":4850,"path":4851,"stem":4852},"Відмінність AI від інших програмних систем","\u002Fai-core\u002Fai-and-machine-learning\u002Fai-vs-automation","19.ai-core\u002F02.ai-and-machine-learning\u002F02.ai-vs-automation",{"title":4854,"path":4855,"stem":4856},"Завдання штучного інтелекту","\u002Fai-core\u002Fai-and-machine-learning\u002Fai-tasks","19.ai-core\u002F02.ai-and-machine-learning\u002F03.ai-tasks",{"title":4858,"path":4859,"stem":4860},"Machine Learning","\u002Fai-core\u002Fai-and-machine-learning\u002Fmachine-learning","19.ai-core\u002F02.ai-and-machine-learning\u002F04.machine-learning",{"title":4862,"path":4863,"stem":4864},"Machine Learning Workflow","\u002Fai-core\u002Fai-and-machine-learning\u002Fml-workflow","19.ai-core\u002F02.ai-and-machine-learning\u002F05.ml-workflow",{"title":4866,"path":4867,"stem":4868},"Типи машинного навчання","\u002Fai-core\u002Fai-and-machine-learning\u002Fml-types","19.ai-core\u002F02.ai-and-machine-learning\u002F06.ml-types",{"title":4870,"path":4871,"stem":4872},"Generative AI","\u002Fai-core\u002Fai-and-machine-learning\u002Fgenerative-ai","19.ai-core\u002F02.ai-and-machine-learning\u002F07.generative-ai",{"title":4874,"path":4875,"stem":4876},"Типи контенту, створюваного AI","\u002Fai-core\u002Fai-and-machine-learning\u002Fai-content-types","19.ai-core\u002F02.ai-and-machine-learning\u002F08.ai-content-types",{"title":4878,"path":4879,"stem":4880},"Великі мовні моделі","\u002Fai-core\u002Fai-and-machine-learning\u002Flarge-language-models","19.ai-core\u002F02.ai-and-machine-learning\u002F09.large-language-models",{"title":4882,"path":4883,"stem":4884},"Можливості та обмеження Generative AI","\u002Fai-core\u002Fai-and-machine-learning\u002Fcapabilities-and-limitations","19.ai-core\u002F02.ai-and-machine-learning\u002F10.capabilities-and-limitations",{"title":4886,"path":4887,"stem":4888},"Сучасні AI-асистенти","\u002Fai-core\u002Fai-and-machine-learning\u002Fmodern-ai-assistants","19.ai-core\u002F02.ai-and-machine-learning\u002F11.modern-ai-assistants",{"title":4890,"icon":4891,"path":4892,"stem":4893,"children":4894,"page":59},"Постановка завдань для AI: принципи створення промптів","i-lucide-message-square-text","\u002Fai-core\u002Fprompt-engineering","19.ai-core\u002F03.prompt-engineering",[4895,4899,4903,4907,4911,4915,4919,4923],{"title":4896,"path":4897,"stem":4898},"Промпт як інструмент","\u002Fai-core\u002Fprompt-engineering\u002Fprompt-as-tool","19.ai-core\u002F03.prompt-engineering\u002F01.prompt-as-tool",{"title":4900,"path":4901,"stem":4902},"Принципи створення промптів","\u002Fai-core\u002Fprompt-engineering\u002Fprompt-principles","19.ai-core\u002F03.prompt-engineering\u002F02.prompt-principles",{"title":4904,"path":4905,"stem":4906},"Структура промпта","\u002Fai-core\u002Fprompt-engineering\u002Fprompt-structure","19.ai-core\u002F03.prompt-engineering\u002F03.prompt-structure",{"title":4908,"path":4909,"stem":4910},"Види промптів за типом задачі","\u002Fai-core\u002Fprompt-engineering\u002Fprompt-types","19.ai-core\u002F03.prompt-engineering\u002F04.prompt-types",{"title":4912,"path":4913,"stem":4914},"Прийоми посилення промпта","\u002Fai-core\u002Fprompt-engineering\u002Fprompt-enhancement","19.ai-core\u002F03.prompt-engineering\u002F05.prompt-enhancement",{"title":4916,"path":4917,"stem":4918},"Розбір і покращення промпта","\u002Fai-core\u002Fprompt-engineering\u002Fprompt-analysis","19.ai-core\u002F03.prompt-engineering\u002F06.prompt-analysis",{"title":4920,"path":4921,"stem":4922},"Типові помилки під час створення промптів","\u002Fai-core\u002Fprompt-engineering\u002Fcommon-mistakes","19.ai-core\u002F03.prompt-engineering\u002F07.common-mistakes",{"title":4924,"path":4925,"stem":4926},"Практикум: особиста бібліотека промптів","\u002Fai-core\u002Fprompt-engineering\u002Fprompt-library","19.ai-core\u002F03.prompt-engineering\u002F08.prompt-library",{"title":4928,"icon":793,"path":4929,"stem":4930,"children":4931,"page":59},"Перевірка результатів, безпека та AI Native Workflow","\u002Fai-core\u002Fverification-security-workflow","19.ai-core\u002F04.verification-security-workflow",[4932,4936,4940,4944,4948,4952,4956,4960,4964],{"title":4933,"path":4934,"stem":4935},"Межі можливостей AI","\u002Fai-core\u002Fverification-security-workflow\u002Fai-limitations","19.ai-core\u002F04.verification-security-workflow\u002F01.ai-limitations",{"title":4937,"path":4938,"stem":4939},"Галюцинації AI","\u002Fai-core\u002Fverification-security-workflow\u002Fai-hallucinations","19.ai-core\u002F04.verification-security-workflow\u002F02.ai-hallucinations",{"title":4941,"path":4942,"stem":4943},"Критичне мислення під час роботи з AI","\u002Fai-core\u002Fverification-security-workflow\u002Fcritical-thinking","19.ai-core\u002F04.verification-security-workflow\u002F03.critical-thinking",{"title":4945,"path":4946,"stem":4947},"Перевірка результатів роботи AI","\u002Fai-core\u002Fverification-security-workflow\u002Fresult-verification","19.ai-core\u002F04.verification-security-workflow\u002F04.result-verification",{"title":4949,"path":4950,"stem":4951},"Захист даних під час роботи з AI","\u002Fai-core\u002Fverification-security-workflow\u002Fdata-protection","19.ai-core\u002F04.verification-security-workflow\u002F05.data-protection",{"title":4953,"path":4954,"stem":4955},"Авторське право та навчальна доброчесність","\u002Fai-core\u002Fverification-security-workflow\u002Fcopyright-integrity","19.ai-core\u002F04.verification-security-workflow\u002F06.copyright-integrity",{"title":4957,"path":4958,"stem":4959},"Відповідальне використання AI","\u002Fai-core\u002Fverification-security-workflow\u002Fresponsible-use","19.ai-core\u002F04.verification-security-workflow\u002F07.responsible-use",{"title":4961,"path":4962,"stem":4963},"AI Native Workflow","\u002Fai-core\u002Fverification-security-workflow\u002Fai-native-workflow","19.ai-core\u002F04.verification-security-workflow\u002F08.ai-native-workflow",{"title":4965,"path":4966,"stem":4967},"Застосування AI Native Workflow під час створення цифрового продукту","\u002Fai-core\u002Fverification-security-workflow\u002Fworkflow-in-practice","19.ai-core\u002F04.verification-security-workflow\u002F09.workflow-in-practice",{"title":4969,"icon":4970,"path":4971,"stem":4972,"children":4973,"page":59},"AI Developer: Vibe Coding Sprint","i-lucide-code-xml","\u002Fai-developer","20.ai-developer",[4974,5000,5022,5043],{"title":4975,"icon":4976,"path":4977,"stem":4978,"children":4979,"page":59},"Проєктування і чорнова версія","i-lucide-pencil-ruler","\u002Fai-developer\u002Fdraft-creation","20.ai-developer\u002F01.draft-creation",[4980,4984,4988,4992,4996],{"title":4981,"path":4982,"stem":4983},"Парадигма Vibe Coding Workflow","\u002Fai-developer\u002Fdraft-creation\u002Fvibe-coding-workflow","20.ai-developer\u002F01.draft-creation\u002F01.vibe-coding-workflow",{"title":4985,"path":4986,"stem":4987},"AI-середовище швидкої розробки","\u002Fai-developer\u002Fdraft-creation\u002Fai-ide-environment","20.ai-developer\u002F01.draft-creation\u002F02.ai-ide-environment",{"title":4989,"path":4990,"stem":4991},"Користувацьке завдання та межі першої версії","\u002Fai-developer\u002Fdraft-creation\u002Fproduct-scope-and-mvp","20.ai-developer\u002F01.draft-creation\u002F03.product-scope-and-mvp",{"title":4993,"path":4994,"stem":4995},"Архітектура інтерфейсу та стани застосунку","\u002Fai-developer\u002Fdraft-creation\u002Fapplication-architecture-and-states","20.ai-developer\u002F01.draft-creation\u002F04.application-architecture-and-states",{"title":4997,"path":4998,"stem":4999},"Генерація та фіксація чорнової версії","\u002Fai-developer\u002Fdraft-creation\u002Fgenerating-draft-version","20.ai-developer\u002F01.draft-creation\u002F05.generating-draft-version",{"title":5001,"icon":5002,"path":5003,"stem":5004,"children":5005,"page":59},"Перша робоча версія","i-lucide-play-circle","\u002Fai-developer\u002Ffirst-working-version","20.ai-developer\u002F02.first-working-version",[5006,5010,5014,5018],{"title":5007,"path":5008,"stem":5009},"Уточнення контексту проєкту для AI","\u002Fai-developer\u002Ffirst-working-version\u002Frefining-project-context","20.ai-developer\u002F02.first-working-version\u002F01.refining-project-context",{"title":5011,"path":5012,"stem":5013},"Стратегія завдань для AI-розробки","\u002Fai-developer\u002Ffirst-working-version\u002Fai-prompting-strategy","20.ai-developer\u002F02.first-working-version\u002F02.ai-prompting-strategy",{"title":5015,"path":5016,"stem":5017},"Доопрацювання до першої робочої версії","\u002Fai-developer\u002Ffirst-working-version\u002Frefining-to-working-version","20.ai-developer\u002F02.first-working-version\u002F03.refining-to-working-version",{"title":5019,"path":5020,"stem":5021},"Перевірка першої робочої версії","\u002Fai-developer\u002Ffirst-working-version\u002Ftesting-first-working-version","20.ai-developer\u002F02.first-working-version\u002F04.testing-first-working-version",{"title":5023,"icon":3072,"path":5024,"stem":5025,"children":5026,"page":59},"Ітерації, дебагінг та відновлення","\u002Fai-developer\u002Fiteration-debugging-recovery","20.ai-developer\u002F03.iteration-debugging-recovery",[5027,5031,5035,5039],{"title":5028,"path":5029,"stem":5030},"Управління точковими змінами продукту","\u002Fai-developer\u002Fiteration-debugging-recovery\u002Fchange-management","20.ai-developer\u002F03.iteration-debugging-recovery\u002F01.change-management",{"title":5032,"path":5033,"stem":5034},"Надійність інтерфейсу та обробка помилок","\u002Fai-developer\u002Fiteration-debugging-recovery\u002Fscenario-reliability-and-errors","20.ai-developer\u002F03.iteration-debugging-recovery\u002F02.scenario-reliability-and-errors",{"title":5036,"path":5037,"stem":5038},"Керування контекстом і збереження версій","\u002Fai-developer\u002Fiteration-debugging-recovery\u002Fproject-context-and-versions","20.ai-developer\u002F03.iteration-debugging-recovery\u002F03.project-context-and-versions",{"title":5040,"path":5041,"stem":5042},"Збої AI-розробки, ліміти та аварійне відновлення","\u002Fai-developer\u002Fiteration-debugging-recovery\u002Fai-breakdowns-and-recovery","20.ai-developer\u002F03.iteration-debugging-recovery\u002F04.ai-breakdowns-and-recovery",{"title":5044,"icon":5045,"path":5046,"stem":5047,"children":5048,"page":59},"Перевірка та завершення продукту","i-lucide-check-check","\u002Fai-developer\u002Fverification-and-completion","20.ai-developer\u002F04.verification-and-completion",[5049,5053,5057],{"title":5050,"path":5051,"stem":5052},"Комплексний аудит та підсумкове тестування","\u002Fai-developer\u002Fverification-and-completion\u002Ffinal-product-testing","20.ai-developer\u002F04.verification-and-completion\u002F01.final-product-testing",{"title":5054,"path":5055,"stem":5056},"Підготовка підсумкової версії коду","\u002Fai-developer\u002Fverification-and-completion\u002Fpreparing-release-version","20.ai-developer\u002F04.verification-and-completion\u002F02.preparing-release-version",{"title":5058,"path":5059,"stem":5060},"Демонстрація, публікація та критерії оцінювання","\u002Fai-developer\u002Fverification-and-completion\u002Fproduct-showcase-and-publishing","20.ai-developer\u002F04.verification-and-completion\u002F03.product-showcase-and-publishing",{"title":5062,"path":5063,"stem":5064,"children":5065,"page":59},"Tailwind","\u002Ftailwind","21.tailwind",[5066,5070,5074,5078,5082,5086,5090,5094,5098,5102,5106,5110],{"title":5067,"path":5068,"stem":5069},"Що таке Tailwind CSS і навіщо він потрібен","\u002Ftailwind\u002Ftailwind-intro-philosophy","21.tailwind\u002F01.tailwind-intro-philosophy",{"title":5071,"path":5072,"stem":5073},"Встановлення та налаштування Tailwind CSS v4","\u002Ftailwind\u002Ftailwind-installation-setup","21.tailwind\u002F02.tailwind-installation-setup",{"title":5075,"path":5076,"stem":5077},"Utility-класи: основи та система Tailwind","\u002Ftailwind\u002Ftailwind-utility-classes-core","21.tailwind\u002F03.tailwind-utility-classes-core",{"title":5079,"path":5080,"stem":5081},"Layout: Flexbox та Grid через Tailwind","\u002Ftailwind\u002Ftailwind-flexbox-grid","21.tailwind\u002F04.tailwind-flexbox-grid",{"title":5083,"path":5084,"stem":5085},"Кастомізація теми через @theme у Tailwind v4","\u002Ftailwind\u002Ftailwind-theme-customization","21.tailwind\u002F05.tailwind-theme-customization",{"title":5087,"path":5088,"stem":5089},"Варіанти: hover, focus, responsive, dark mode та нові v4","\u002Ftailwind\u002Ftailwind-variants-states","21.tailwind\u002F06.tailwind-variants-states",{"title":5091,"path":5092,"stem":5093},"Типографіка та система кольорів у Tailwind v4","\u002Ftailwind\u002Ftailwind-typography-colors","21.tailwind\u002F07.tailwind-typography-colors",{"title":5095,"path":5096,"stem":5097},"Компоненти та повторюваність: @apply, @utility та патерни","\u002Ftailwind\u002Ftailwind-components-patterns","21.tailwind\u002F08.tailwind-components-patterns",{"title":5099,"path":5100,"stem":5101},"Темна тема та система дизайн-токенів у Tailwind v4","\u002Ftailwind\u002Ftailwind-dark-mode-theming","21.tailwind\u002F09.tailwind-dark-mode-theming",{"title":5103,"path":5104,"stem":5105},"Довільні значення та контейнерні запити у Tailwind v4","\u002Ftailwind\u002Ftailwind-arbitrary-container-queries","21.tailwind\u002F10.tailwind-arbitrary-container-queries",{"title":5107,"path":5108,"stem":5109},"Анімації, трансформації та 3D у Tailwind v4","\u002Ftailwind\u002Ftailwind-animations-transforms","21.tailwind\u002F11.tailwind-animations-transforms",{"title":5111,"path":5112,"stem":5113},"Tailwind CLI, PostCSS та інтеграція з фреймворками","\u002Ftailwind\u002Ftailwind-cli-tooling","21.tailwind\u002F12.tailwind-cli-tooling",{"title":5115,"path":5116,"stem":5117,"children":5118,"page":59},"React Typescript","\u002Freact-typescript","22.react-typescript",[5119,5144,5148,5152,5156,5160,5164,5168,5172],{"title":5120,"path":5121,"stem":5122,"children":5123,"page":59},"From Html To Project","\u002Freact-typescript\u002Ffrom-html-to-project","22.react-typescript\u002F01.from-html-to-project",[5124,5128,5132,5136,5140],{"title":5125,"path":5126,"stem":5127},"Від одного HTML-файлу до повноцінного проєкту","\u002Freact-typescript\u002Ffrom-html-to-project\u002Fevolution","22.react-typescript\u002F01.from-html-to-project\u002F01.evolution",{"title":5129,"path":5130,"stem":5131},"Що таке React","\u002Freact-typescript\u002Ffrom-html-to-project\u002Fwhat-is-react","22.react-typescript\u002F01.from-html-to-project\u002F02.what-is-react",{"title":5133,"path":5134,"stem":5135},"JSX та TSX — синтаксичний цукор, а не магія","\u002Freact-typescript\u002Ffrom-html-to-project\u002Fjsx-tsx-syntax","22.react-typescript\u002F01.from-html-to-project\u002F03.jsx-tsx-syntax",{"title":5137,"path":5138,"stem":5139},"Компоненти — будівельні блоки інтерфейсу","\u002Freact-typescript\u002Ffrom-html-to-project\u002Fcomponents","22.react-typescript\u002F01.from-html-to-project\u002F04.components",{"title":5141,"path":5142,"stem":5143},"JSX — розмітка всередині TypeScript","\u002Freact-typescript\u002Ffrom-html-to-project\u002Fjsx-expressions","22.react-typescript\u002F01.from-html-to-project\u002F05.jsx-expressions",{"title":5145,"path":5146,"stem":5147},"Хук useReducer: структуроване управління складним станом","\u002Freact-typescript\u002Fuse-reducer","22.react-typescript\u002F23.use-reducer",{"title":5149,"path":5150,"stem":5151},"Context API: передавання даних без «пропс-дрілінгу»","\u002Freact-typescript\u002Fcontext-api","22.react-typescript\u002F24.context-api",{"title":5153,"path":5154,"stem":5155},"Синхронізація з ефектами: хук useEffect та функції очищення","\u002Freact-typescript\u002Fuse-effect","22.react-typescript\u002F27.use-effect",{"title":5157,"path":5158,"stem":5159},"Можливо, вам не потрібен ефект: антипатерни та альтернативи","\u002Freact-typescript\u002Fyou-might-not-need-effect","22.react-typescript\u002F28.you-might-not-need-effect",{"title":5161,"path":5162,"stem":5163},"Життєвий цикл реактивних ефектів: мислення процесами синхронізації","\u002Freact-typescript\u002Flifecycle-of-reactive-effects","22.react-typescript\u002F29.lifecycle-of-reactive-effects",{"title":5165,"path":5166,"stem":5167},"Розділення подій та ефектів: реактивна проти нереактивної логіки","\u002Freact-typescript\u002Fseparating-events-from-effects","22.react-typescript\u002F30.separating-events-from-effects",{"title":5169,"path":5170,"stem":5171},"Видалення зайвих залежностей ефектів та оптимізація синхронізації","\u002Freact-typescript\u002Fremoving-effect-dependencies","22.react-typescript\u002F31.removing-effect-dependencies",{"title":5173,"path":5174,"stem":5175},"Кастомні хуки: повторне використання та композиція реактивної логіки","\u002Freact-typescript\u002Fcustom-hooks","22.react-typescript\u002F32.custom-hooks",{"title":5177,"path":5178,"stem":5179},"Тестування компонентів діаграм та пісочниць","\u002Ftest-components","98.test-components",{"id":5181,"title":3905,"body":5182,"description":15045,"extension":15046,"links":15047,"meta":15048,"navigation":5325,"path":3906,"seo":15049,"stem":3907,"__hash__":15050},"docs\u002F16.ai-python\u002F13.pytorch-intro\u002F02.building-and-training.md",{"type":5183,"value":5184,"toc":15026},"minimark",[5185,5260,5265,5269,5272,5282,5885,5897,5939,5942,5946,5950,5953,5972,6319,6334,6339,6874,6878,6881,6885,7144,7148,7472,7510,7513,7517,7520,7524,7527,8031,8038,8042,8045,8343,8356,8360,8363,9129,9136,9140,9143,9872,9943,9945,9949,9952,9956,9963,10319,10346,10389,10393,10396,10400,10684,10765,10769,11025,11085,11089,11489,11598,11600,11604,11611,11615,11618,11914,11917,11928,11933,11936,11939,11946,11950,11953,12248,12318,12322,12423,12456,12460,12463,12467,12796,12843,12847,13668,13672,13675,14299,14332,14336,14339,14880,14887,14889,14893,14992,14994,14998,15005,15019,15022],[5186,5187,5188,5219],"card-group",{},[5189,5190,5193],"card",{"icon":5191,"title":5192},"i-lucide-target","🎯 Мета статті",[5194,5195,5196,5204,5207,5210,5213,5216],"ul",{},[5197,5198,5199,5200],"li",{},"Навчитися будувати нейронні мережі через ",[5201,5202,5203],"code",{},"nn.Module",[5197,5205,5206],{},"Розібратися у різних способах побудови архітектур",[5197,5208,5209],{},"Опанувати функції втрат для регресії та класифікації",[5197,5211,5212],{},"Вивчити оптимізатори та їх гіперпараметри",[5197,5214,5215],{},"Реалізувати повний цикл тренування з валідацією",[5197,5217,5218],{},"Застосувати early stopping та model checkpointing",[5189,5220,5222],{"icon":4618,"title":5221},"🔑 Ключові концепції",[5194,5223,5224,5230,5236,5242,5248,5254],{},[5197,5225,5226,5229],{},[5227,5228,5203],"strong",{}," — базовий клас для всіх нейронних мереж",[5197,5231,5232,5235],{},[5227,5233,5234],{},"Forward pass"," — обчислення передбачень моделі",[5197,5237,5238,5241],{},[5227,5239,5240],{},"Backward pass"," — обчислення градієнтів через backpropagation",[5197,5243,5244,5247],{},[5227,5245,5246],{},"Loss function"," — функція втрат для оцінки помилки моделі",[5197,5249,5250,5253],{},[5227,5251,5252],{},"Optimizer"," — алгоритм оновлення параметрів (SGD, Adam)",[5197,5255,5256,5259],{},[5227,5257,5258],{},"Training loop"," — цикл тренування моделі через епохи та батчі",[5261,5262,5264],"h2",{"id":5263},"вступ-чистий-pytorch-vs-nnmodule","Вступ: «Чистий» PyTorch vs nn.Module",[5266,5267,5268],"p",{},"У попередній статті ми навчилися обчислювати градієнти та реалізували просту лінійну регресію «з нуля» — вручну визначаючи параметри, forward pass та gradient descent loop. Це дало глибоке розуміння того, як працює навчання нейронних мереж.",[5266,5270,5271],{},"Але уявіть, що потрібно побудувати мережу з 10 шарами, dropout, batch normalization та skip connections. Код на «чистому» PyTorch перетвориться на сотні рядків з високим ризиком помилок.",[5266,5273,5274,5277,5278,5281],{},[5227,5275,5276],{},"Рішення:"," модуль ",[5201,5279,5280],{},"torch.nn"," — високорівневий API для побудови нейронних мереж.",[5283,5284,5286,5295,5584,5590],"jupyter-notebook",{"title":5285},"pure_pytorch_vs_nn.ipynb",[5287,5288,5290],"jupyter-cell",{"type":5289},"markdown",[5291,5292,5294],"h3",{"id":5293},"підхід-1-чистий-pytorch-вручну","Підхід 1: \"Чистий\" PyTorch (вручну)",[5287,5296,5298,5536],{"execution-count":5297},"1",[5299,5300,5305],"pre",{"className":5301,"code":5302,"language":5303,"meta":5304,"style":5304},"language-python shiki shiki-themes light-plus dark-plus dark-plus","import torch\n\n# Вручну визначаємо параметри\nw1 = torch.randn(10, 20, requires_grad=True)\nb1 = torch.randn(20, requires_grad=True)\nw2 = torch.randn(20, 1, requires_grad=True)\nb2 = torch.randn(1, requires_grad=True)\n\n# Forward pass вручну\ndef forward(X):\n    h = X @ w1 + b1\n    h = torch.relu(h)\n    y = h @ w2 + b2\n    return y\n\nX = torch.randn(32, 10)\ny_pred = forward(X)\nprint(f\"Вихід: {y_pred.shape}\")\n","python","",[5201,5306,5307,5320,5327,5334,5366,5384,5406,5424,5429,5435,5454,5460,5466,5472,5481,5486,5501,5507],{"__ignoreMap":5304},[5308,5309,5312,5316],"span",{"class":5310,"line":5311},"line",1,[5308,5313,5315],{"class":5314},"s8xlr","import",[5308,5317,5319],{"class":5318},"sHH4Y"," torch\n",[5308,5321,5323],{"class":5310,"line":5322},2,[5308,5324,5326],{"emptyLinePlaceholder":5325},true,"\n",[5308,5328,5330],{"class":5310,"line":5329},3,[5308,5331,5333],{"class":5332},"spJ8K","# Вручну визначаємо параметри\n",[5308,5335,5337,5340,5344,5347,5350,5352,5356,5359,5363],{"class":5310,"line":5336},4,[5308,5338,5339],{"class":5318},"w1 = torch.randn(",[5308,5341,5343],{"class":5342},"sJj4R","10",[5308,5345,5346],{"class":5318},", ",[5308,5348,5349],{"class":5342},"20",[5308,5351,5346],{"class":5318},[5308,5353,5355],{"class":5354},"siwwj","requires_grad",[5308,5357,5358],{"class":5318},"=",[5308,5360,5362],{"class":5361},"su1O8","True",[5308,5364,5365],{"class":5318},")\n",[5308,5367,5369,5372,5374,5376,5378,5380,5382],{"class":5310,"line":5368},5,[5308,5370,5371],{"class":5318},"b1 = torch.randn(",[5308,5373,5349],{"class":5342},[5308,5375,5346],{"class":5318},[5308,5377,5355],{"class":5354},[5308,5379,5358],{"class":5318},[5308,5381,5362],{"class":5361},[5308,5383,5365],{"class":5318},[5308,5385,5387,5390,5392,5394,5396,5398,5400,5402,5404],{"class":5310,"line":5386},6,[5308,5388,5389],{"class":5318},"w2 = torch.randn(",[5308,5391,5349],{"class":5342},[5308,5393,5346],{"class":5318},[5308,5395,5297],{"class":5342},[5308,5397,5346],{"class":5318},[5308,5399,5355],{"class":5354},[5308,5401,5358],{"class":5318},[5308,5403,5362],{"class":5361},[5308,5405,5365],{"class":5318},[5308,5407,5409,5412,5414,5416,5418,5420,5422],{"class":5310,"line":5408},7,[5308,5410,5411],{"class":5318},"b2 = torch.randn(",[5308,5413,5297],{"class":5342},[5308,5415,5346],{"class":5318},[5308,5417,5355],{"class":5354},[5308,5419,5358],{"class":5318},[5308,5421,5362],{"class":5361},[5308,5423,5365],{"class":5318},[5308,5425,5427],{"class":5310,"line":5426},8,[5308,5428,5326],{"emptyLinePlaceholder":5325},[5308,5430,5432],{"class":5310,"line":5431},9,[5308,5433,5434],{"class":5332},"# Forward pass вручну\n",[5308,5436,5438,5441,5445,5448,5451],{"class":5310,"line":5437},10,[5308,5439,5440],{"class":5361},"def",[5308,5442,5444],{"class":5443},"s8Opu"," forward",[5308,5446,5447],{"class":5318},"(",[5308,5449,5450],{"class":5354},"X",[5308,5452,5453],{"class":5318},"):\n",[5308,5455,5457],{"class":5310,"line":5456},11,[5308,5458,5459],{"class":5318},"    h = X @ w1 + b1\n",[5308,5461,5463],{"class":5310,"line":5462},12,[5308,5464,5465],{"class":5318},"    h = torch.relu(h)\n",[5308,5467,5469],{"class":5310,"line":5468},13,[5308,5470,5471],{"class":5318},"    y = h @ w2 + b2\n",[5308,5473,5475,5478],{"class":5310,"line":5474},14,[5308,5476,5477],{"class":5314},"    return",[5308,5479,5480],{"class":5318}," y\n",[5308,5482,5484],{"class":5310,"line":5483},15,[5308,5485,5326],{"emptyLinePlaceholder":5325},[5308,5487,5489,5492,5495,5497,5499],{"class":5310,"line":5488},16,[5308,5490,5491],{"class":5318},"X = torch.randn(",[5308,5493,5494],{"class":5342},"32",[5308,5496,5346],{"class":5318},[5308,5498,5343],{"class":5342},[5308,5500,5365],{"class":5318},[5308,5502,5504],{"class":5310,"line":5503},17,[5308,5505,5506],{"class":5318},"y_pred = forward(X)\n",[5308,5508,5510,5513,5515,5518,5522,5525,5528,5531,5534],{"class":5310,"line":5509},18,[5308,5511,5512],{"class":5443},"print",[5308,5514,5447],{"class":5318},[5308,5516,5517],{"class":5361},"f",[5308,5519,5521],{"class":5520},"sbdoH","\"Вихід: ",[5308,5523,5524],{"class":5361},"{",[5308,5526,5527],{"class":5318},"y_pred.shape",[5308,5529,5530],{"class":5361},"}",[5308,5532,5533],{"class":5520},"\"",[5308,5535,5365],{"class":5318},[5537,5538,5539],"template",{"v-slot:output":5304},[5540,5541,5542,5562],"table",{},[5543,5544,5545],"thead",{},[5546,5547,5548,5553,5556,5559],"tr",{},[5549,5550,5552],"th",{"align":5551},"center","Зразок батчу",[5549,5554,5555],{"align":5551},"Вхідна розмірність $X$",[5549,5557,5558],{"align":5551},"Вихід моделі $\\hat{y}$",[5549,5560,5561],{"align":5551},"Форма виходу",[5563,5564,5565],"tbody",{},[5546,5566,5567,5571,5576,5579],{},[5568,5569,5570],"td",{"align":5551},"Батч з 32 зразків",[5568,5572,5573],{"align":5551},[5201,5574,5575],{},"torch.Size([32, 10])",[5568,5577,5578],{"align":5551},"Вектор скалярних прогнозів",[5568,5580,5581],{"align":5551},[5201,5582,5583],{},"torch.Size([32, 1])",[5287,5585,5586],{"type":5289},[5291,5587,5589],{"id":5588},"підхід-2-nnmodule-професійно","Підхід 2: nn.Module (професійно)",[5287,5591,5593,5835],{"execution-count":5592},"2",[5299,5594,5596],{"className":5301,"code":5595,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\nclass SimpleNetwork(nn.Module):\n    def __init__(self):\n        super().__init__()\n        self.fc1 = nn.Linear(10, 20)\n        self.fc2 = nn.Linear(20, 1)\n    \n    def forward(self, X):\n        h = torch.relu(self.fc1(X))\n        y = self.fc2(h)\n        return y\n\nmodel = SimpleNetwork()\nX = torch.randn(32, 10)\ny_pred = model(X)\nprint(f\"Вихід: {y_pred.shape}\")\nprint(f\"Кількість параметрів: {sum(p.numel() for p in model.parameters())}\")\n",[5201,5597,5598,5604,5617,5621,5643,5658,5672,5688,5703,5708,5724,5734,5744,5751,5755,5760,5772,5777,5797],{"__ignoreMap":5304},[5308,5599,5600,5602],{"class":5310,"line":5311},[5308,5601,5315],{"class":5314},[5308,5603,5319],{"class":5318},[5308,5605,5606,5608,5611,5614],{"class":5310,"line":5322},[5308,5607,5315],{"class":5314},[5308,5609,5610],{"class":5318}," torch.nn ",[5308,5612,5613],{"class":5314},"as",[5308,5615,5616],{"class":5318}," nn\n",[5308,5618,5619],{"class":5310,"line":5329},[5308,5620,5326],{"emptyLinePlaceholder":5325},[5308,5622,5623,5626,5630,5632,5635,5638,5641],{"class":5310,"line":5336},[5308,5624,5625],{"class":5361},"class",[5308,5627,5629],{"class":5628},"sN1BT"," SimpleNetwork",[5308,5631,5447],{"class":5318},[5308,5633,5634],{"class":5628},"nn",[5308,5636,5637],{"class":5318},".",[5308,5639,5640],{"class":5628},"Module",[5308,5642,5453],{"class":5318},[5308,5644,5645,5648,5651,5653,5656],{"class":5310,"line":5368},[5308,5646,5647],{"class":5361},"    def",[5308,5649,5650],{"class":5443}," __init__",[5308,5652,5447],{"class":5318},[5308,5654,5655],{"class":5354},"self",[5308,5657,5453],{"class":5318},[5308,5659,5660,5663,5666,5669],{"class":5310,"line":5386},[5308,5661,5662],{"class":5628},"        super",[5308,5664,5665],{"class":5318},"().",[5308,5667,5668],{"class":5443},"__init__",[5308,5670,5671],{"class":5318},"()\n",[5308,5673,5674,5677,5680,5682,5684,5686],{"class":5310,"line":5408},[5308,5675,5676],{"class":5361},"        self",[5308,5678,5679],{"class":5318},".fc1 = nn.Linear(",[5308,5681,5343],{"class":5342},[5308,5683,5346],{"class":5318},[5308,5685,5349],{"class":5342},[5308,5687,5365],{"class":5318},[5308,5689,5690,5692,5695,5697,5699,5701],{"class":5310,"line":5426},[5308,5691,5676],{"class":5361},[5308,5693,5694],{"class":5318},".fc2 = nn.Linear(",[5308,5696,5349],{"class":5342},[5308,5698,5346],{"class":5318},[5308,5700,5297],{"class":5342},[5308,5702,5365],{"class":5318},[5308,5704,5705],{"class":5310,"line":5431},[5308,5706,5707],{"class":5318},"    \n",[5308,5709,5710,5712,5714,5716,5718,5720,5722],{"class":5310,"line":5437},[5308,5711,5647],{"class":5361},[5308,5713,5444],{"class":5443},[5308,5715,5447],{"class":5318},[5308,5717,5655],{"class":5354},[5308,5719,5346],{"class":5318},[5308,5721,5450],{"class":5354},[5308,5723,5453],{"class":5318},[5308,5725,5726,5729,5731],{"class":5310,"line":5456},[5308,5727,5728],{"class":5318},"        h = torch.relu(",[5308,5730,5655],{"class":5361},[5308,5732,5733],{"class":5318},".fc1(X))\n",[5308,5735,5736,5739,5741],{"class":5310,"line":5462},[5308,5737,5738],{"class":5318},"        y = ",[5308,5740,5655],{"class":5361},[5308,5742,5743],{"class":5318},".fc2(h)\n",[5308,5745,5746,5749],{"class":5310,"line":5468},[5308,5747,5748],{"class":5314},"        return",[5308,5750,5480],{"class":5318},[5308,5752,5753],{"class":5310,"line":5474},[5308,5754,5326],{"emptyLinePlaceholder":5325},[5308,5756,5757],{"class":5310,"line":5483},[5308,5758,5759],{"class":5318},"model = SimpleNetwork()\n",[5308,5761,5762,5764,5766,5768,5770],{"class":5310,"line":5488},[5308,5763,5491],{"class":5318},[5308,5765,5494],{"class":5342},[5308,5767,5346],{"class":5318},[5308,5769,5343],{"class":5342},[5308,5771,5365],{"class":5318},[5308,5773,5774],{"class":5310,"line":5503},[5308,5775,5776],{"class":5318},"y_pred = model(X)\n",[5308,5778,5779,5781,5783,5785,5787,5789,5791,5793,5795],{"class":5310,"line":5509},[5308,5780,5512],{"class":5443},[5308,5782,5447],{"class":5318},[5308,5784,5517],{"class":5361},[5308,5786,5521],{"class":5520},[5308,5788,5524],{"class":5361},[5308,5790,5527],{"class":5318},[5308,5792,5530],{"class":5361},[5308,5794,5533],{"class":5520},[5308,5796,5365],{"class":5318},[5308,5798,5800,5802,5804,5806,5809,5811,5814,5817,5820,5823,5826,5829,5831,5833],{"class":5310,"line":5799},19,[5308,5801,5512],{"class":5443},[5308,5803,5447],{"class":5318},[5308,5805,5517],{"class":5361},[5308,5807,5808],{"class":5520},"\"Кількість параметрів: ",[5308,5810,5524],{"class":5361},[5308,5812,5813],{"class":5443},"sum",[5308,5815,5816],{"class":5318},"(p.numel() ",[5308,5818,5819],{"class":5314},"for",[5308,5821,5822],{"class":5318}," p ",[5308,5824,5825],{"class":5314},"in",[5308,5827,5828],{"class":5318}," model.parameters())",[5308,5830,5530],{"class":5361},[5308,5832,5533],{"class":5520},[5308,5834,5365],{"class":5318},[5537,5836,5837],{"v-slot:output":5304},[5540,5838,5839,5855],{},[5543,5840,5841],{},[5546,5842,5843,5847,5849,5852],{},[5549,5844,5846],{"align":5845},"left","Модель",[5549,5848,5561],{"align":5551},[5549,5850,5851],{"align":5551},"Кількість параметрів, що навчаються",[5549,5853,5854],{"align":5845},"Перевага підходу",[5563,5856,5857],{},[5546,5858,5859,5870,5874,5882],{},[5568,5860,5861],{"align":5845},[5227,5862,5863,5866,5867,5869],{},[5201,5864,5865],{},"LinearRegressionNN"," (",[5201,5868,5203],{},")",[5568,5871,5872],{"align":5551},[5201,5873,5583],{},[5568,5875,5876,5881],{"align":5551},[5227,5877,5878],{},[5201,5879,5880],{},"241"," ($10 \\times 20 + 20 + 20 \\times 1 + 1$)",[5568,5883,5884],{"align":5845},"Автоматичний менеджмент ваг та зміщень",[5886,5887,5888],"blockquote",{},[5266,5889,5890,5893,5894,5896],{},[5227,5891,5892],{},"Аналогія:"," «Чистий» PyTorch — це як збирати комп'ютер з окремих компонентів (процесор, пам'ять, материнська плата). ",[5201,5895,5203],{}," — це готові блоки (відеокарта вже зібрана), які достатньо підключити один до одного.",[5898,5899,5900,5905],"tip",{},[5266,5901,5902],{},[5227,5903,5904],{},"Переваги nn.Module:",[5194,5906,5907,5910,5920,5926,5936],{},[5197,5908,5909],{},"✅ Автоматична реєстрація параметрів",[5197,5911,5912,5913,5346,5916,5919],{},"✅ Методи ",[5201,5914,5915],{},".parameters()",[5201,5917,5918],{},".state_dict()"," для збереження",[5197,5921,5922,5923],{},"✅ Підтримка GPU через ",[5201,5924,5925],{},".to(device)",[5197,5927,5928,5929,5932,5933],{},"✅ Режими ",[5201,5930,5931],{},".train()"," та ",[5201,5934,5935],{},".eval()",[5197,5937,5938],{},"✅ Вкладені модулі (композиція архітектур)",[5940,5941],"hr",{},[5261,5943,5945],{"id":5944},"частина-1-побудова-нейронних-мереж-з-nnmodule","Частина 1: Побудова нейронних мереж з nn.Module",[5291,5947,5949],{"id":5948},"анатомія-nnmodule","Анатомія nn.Module",[5266,5951,5952],{},"Будь-яка модель у PyTorch має два обов'язкові методи:",[5954,5955,5956,5964],"ol",{},[5197,5957,5958,5963],{},[5227,5959,5960],{},[5201,5961,5962],{},"__init__()"," — визначення архітектури (шари, параметри)",[5197,5965,5966,5971],{},[5227,5967,5968],{},[5201,5969,5970],{},"forward()"," — обчислення виходу (forward pass)",[5283,5973,5975],{"title":5974},"basic_nn_module.ipynb",[5287,5976,5977,6277],{"execution-count":5297},[5299,5978,5980],{"className":5301,"code":5979,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\nclass MyFirstNetwork(nn.Module):\n    def __init__(self, input_size, hidden_size, output_size):\n        super().__init__()  # Обов'язково викликати конструктор батьківського класу!\n        \n        # Визначаємо шари\n        self.fc1 = nn.Linear(input_size, hidden_size)\n        self.relu = nn.ReLU()\n        self.fc2 = nn.Linear(hidden_size, output_size)\n    \n    def forward(self, x):\n        # Описуємо forward pass\n        x = self.fc1(x)\n        x = self.relu(x)\n        x = self.fc2(x)\n        return x\n\n# Створення екземпляра моделі\nmodel = MyFirstNetwork(input_size=10, hidden_size=20, output_size=1)\n\n# Виклик моделі (автоматично викликає forward)\nX = torch.randn(5, 10)  # батч з 5 прикладів\noutput = model(X)\n\nprint(f\"Вхід: {X.shape}\")\nprint(f\"Вихід: {output.shape}\")\n",[5201,5981,5982,5988,5998,6002,6019,6046,6060,6065,6070,6077,6084,6091,6095,6112,6117,6127,6136,6145,6152,6156,6162,6192,6197,6203,6221,6227,6232,6255],{"__ignoreMap":5304},[5308,5983,5984,5986],{"class":5310,"line":5311},[5308,5985,5315],{"class":5314},[5308,5987,5319],{"class":5318},[5308,5989,5990,5992,5994,5996],{"class":5310,"line":5322},[5308,5991,5315],{"class":5314},[5308,5993,5610],{"class":5318},[5308,5995,5613],{"class":5314},[5308,5997,5616],{"class":5318},[5308,5999,6000],{"class":5310,"line":5329},[5308,6001,5326],{"emptyLinePlaceholder":5325},[5308,6003,6004,6006,6009,6011,6013,6015,6017],{"class":5310,"line":5336},[5308,6005,5625],{"class":5361},[5308,6007,6008],{"class":5628}," MyFirstNetwork",[5308,6010,5447],{"class":5318},[5308,6012,5634],{"class":5628},[5308,6014,5637],{"class":5318},[5308,6016,5640],{"class":5628},[5308,6018,5453],{"class":5318},[5308,6020,6021,6023,6025,6027,6029,6031,6034,6036,6039,6041,6044],{"class":5310,"line":5368},[5308,6022,5647],{"class":5361},[5308,6024,5650],{"class":5443},[5308,6026,5447],{"class":5318},[5308,6028,5655],{"class":5354},[5308,6030,5346],{"class":5318},[5308,6032,6033],{"class":5354},"input_size",[5308,6035,5346],{"class":5318},[5308,6037,6038],{"class":5354},"hidden_size",[5308,6040,5346],{"class":5318},[5308,6042,6043],{"class":5354},"output_size",[5308,6045,5453],{"class":5318},[5308,6047,6048,6050,6052,6054,6057],{"class":5310,"line":5386},[5308,6049,5662],{"class":5628},[5308,6051,5665],{"class":5318},[5308,6053,5668],{"class":5443},[5308,6055,6056],{"class":5318},"()  ",[5308,6058,6059],{"class":5332},"# Обов'язково викликати конструктор батьківського класу!\n",[5308,6061,6062],{"class":5310,"line":5408},[5308,6063,6064],{"class":5318},"        \n",[5308,6066,6067],{"class":5310,"line":5426},[5308,6068,6069],{"class":5332},"        # Визначаємо шари\n",[5308,6071,6072,6074],{"class":5310,"line":5431},[5308,6073,5676],{"class":5361},[5308,6075,6076],{"class":5318},".fc1 = nn.Linear(input_size, hidden_size)\n",[5308,6078,6079,6081],{"class":5310,"line":5437},[5308,6080,5676],{"class":5361},[5308,6082,6083],{"class":5318},".relu = nn.ReLU()\n",[5308,6085,6086,6088],{"class":5310,"line":5456},[5308,6087,5676],{"class":5361},[5308,6089,6090],{"class":5318},".fc2 = nn.Linear(hidden_size, output_size)\n",[5308,6092,6093],{"class":5310,"line":5462},[5308,6094,5707],{"class":5318},[5308,6096,6097,6099,6101,6103,6105,6107,6110],{"class":5310,"line":5468},[5308,6098,5647],{"class":5361},[5308,6100,5444],{"class":5443},[5308,6102,5447],{"class":5318},[5308,6104,5655],{"class":5354},[5308,6106,5346],{"class":5318},[5308,6108,6109],{"class":5354},"x",[5308,6111,5453],{"class":5318},[5308,6113,6114],{"class":5310,"line":5474},[5308,6115,6116],{"class":5332},"        # Описуємо forward pass\n",[5308,6118,6119,6122,6124],{"class":5310,"line":5483},[5308,6120,6121],{"class":5318},"        x = ",[5308,6123,5655],{"class":5361},[5308,6125,6126],{"class":5318},".fc1(x)\n",[5308,6128,6129,6131,6133],{"class":5310,"line":5488},[5308,6130,6121],{"class":5318},[5308,6132,5655],{"class":5361},[5308,6134,6135],{"class":5318},".relu(x)\n",[5308,6137,6138,6140,6142],{"class":5310,"line":5503},[5308,6139,6121],{"class":5318},[5308,6141,5655],{"class":5361},[5308,6143,6144],{"class":5318},".fc2(x)\n",[5308,6146,6147,6149],{"class":5310,"line":5509},[5308,6148,5748],{"class":5314},[5308,6150,6151],{"class":5318}," x\n",[5308,6153,6154],{"class":5310,"line":5799},[5308,6155,5326],{"emptyLinePlaceholder":5325},[5308,6157,6159],{"class":5310,"line":6158},20,[5308,6160,6161],{"class":5332},"# Створення екземпляра моделі\n",[5308,6163,6165,6168,6170,6172,6174,6176,6178,6180,6182,6184,6186,6188,6190],{"class":5310,"line":6164},21,[5308,6166,6167],{"class":5318},"model = MyFirstNetwork(",[5308,6169,6033],{"class":5354},[5308,6171,5358],{"class":5318},[5308,6173,5343],{"class":5342},[5308,6175,5346],{"class":5318},[5308,6177,6038],{"class":5354},[5308,6179,5358],{"class":5318},[5308,6181,5349],{"class":5342},[5308,6183,5346],{"class":5318},[5308,6185,6043],{"class":5354},[5308,6187,5358],{"class":5318},[5308,6189,5297],{"class":5342},[5308,6191,5365],{"class":5318},[5308,6193,6195],{"class":5310,"line":6194},22,[5308,6196,5326],{"emptyLinePlaceholder":5325},[5308,6198,6200],{"class":5310,"line":6199},23,[5308,6201,6202],{"class":5332},"# Виклик моделі (автоматично викликає forward)\n",[5308,6204,6206,6208,6211,6213,6215,6218],{"class":5310,"line":6205},24,[5308,6207,5491],{"class":5318},[5308,6209,6210],{"class":5342},"5",[5308,6212,5346],{"class":5318},[5308,6214,5343],{"class":5342},[5308,6216,6217],{"class":5318},")  ",[5308,6219,6220],{"class":5332},"# батч з 5 прикладів\n",[5308,6222,6224],{"class":5310,"line":6223},25,[5308,6225,6226],{"class":5318},"output = model(X)\n",[5308,6228,6230],{"class":5310,"line":6229},26,[5308,6231,5326],{"emptyLinePlaceholder":5325},[5308,6233,6235,6237,6239,6241,6244,6246,6249,6251,6253],{"class":5310,"line":6234},27,[5308,6236,5512],{"class":5443},[5308,6238,5447],{"class":5318},[5308,6240,5517],{"class":5361},[5308,6242,6243],{"class":5520},"\"Вхід: ",[5308,6245,5524],{"class":5361},[5308,6247,6248],{"class":5318},"X.shape",[5308,6250,5530],{"class":5361},[5308,6252,5533],{"class":5520},[5308,6254,5365],{"class":5318},[5308,6256,6258,6260,6262,6264,6266,6268,6271,6273,6275],{"class":5310,"line":6257},28,[5308,6259,5512],{"class":5443},[5308,6261,5447],{"class":5318},[5308,6263,5517],{"class":5361},[5308,6265,5521],{"class":5520},[5308,6267,5524],{"class":5361},[5308,6269,6270],{"class":5318},"output.shape",[5308,6272,5530],{"class":5361},[5308,6274,5533],{"class":5520},[5308,6276,5365],{"class":5318},[5537,6278,6279],{"v-slot:output":5304},[5540,6280,6281,6297],{},[5543,6282,6283],{},[5546,6284,6285,6288,6291,6294],{},[5549,6286,6287],{"align":5551},"Вхідні дані $X$",[5549,6289,6290],{"align":5551},"Архітектура",[5549,6292,6293],{"align":5551},"Функція активації",[5549,6295,6296],{"align":5551},"Вихід $\\hat{y}$",[5563,6298,6299],{},[5546,6300,6301,6306,6309,6314],{},[5568,6302,6303],{"align":5551},[5201,6304,6305],{},"torch.Size([5, 10])",[5568,6307,6308],{"align":5551},"$10 \\to 20 \\to 1$",[5568,6310,6311],{"align":5551},[5201,6312,6313],{},"ReLU",[5568,6315,6316],{"align":5551},[5201,6317,6318],{},"torch.Size([5, 1])",[6320,6321,6322,6331],"note",{},[5266,6323,6324],{},[5227,6325,6326,6327,6330],{},"Чому викликати ",[5201,6328,6329],{},"super().__init__()","?",[5266,6332,6333],{},"Це ініціалізує внутрішні механізми PyTorch для відстеження параметрів, режимів тренування\u002Feval та інших функцій. Без цього виклику модель не працюватиме коректно.",[6335,6336,6338],"h4",{"id":6337},"корисні-методи-nnmodule","Корисні методи nn.Module",[5283,6340,6342,6543,6725],{"title":6341},"nn_module_methods.ipynb",[5287,6343,6344,6450],{"execution-count":5297},[5299,6345,6347],{"className":5301,"code":6346,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\nmodel = MyFirstNetwork(10, 20, 1)\n\n# Отримання всіх параметрів\nprint(\"Всі параметри:\")\nfor name, param in model.named_parameters():\n    print(f\"  {name}: {param.shape}\")\n",[5201,6348,6349,6355,6365,6369,6385,6389,6394,6405,6417],{"__ignoreMap":5304},[5308,6350,6351,6353],{"class":5310,"line":5311},[5308,6352,5315],{"class":5314},[5308,6354,5319],{"class":5318},[5308,6356,6357,6359,6361,6363],{"class":5310,"line":5322},[5308,6358,5315],{"class":5314},[5308,6360,5610],{"class":5318},[5308,6362,5613],{"class":5314},[5308,6364,5616],{"class":5318},[5308,6366,6367],{"class":5310,"line":5329},[5308,6368,5326],{"emptyLinePlaceholder":5325},[5308,6370,6371,6373,6375,6377,6379,6381,6383],{"class":5310,"line":5336},[5308,6372,6167],{"class":5318},[5308,6374,5343],{"class":5342},[5308,6376,5346],{"class":5318},[5308,6378,5349],{"class":5342},[5308,6380,5346],{"class":5318},[5308,6382,5297],{"class":5342},[5308,6384,5365],{"class":5318},[5308,6386,6387],{"class":5310,"line":5368},[5308,6388,5326],{"emptyLinePlaceholder":5325},[5308,6390,6391],{"class":5310,"line":5386},[5308,6392,6393],{"class":5332},"# Отримання всіх параметрів\n",[5308,6395,6396,6398,6400,6403],{"class":5310,"line":5408},[5308,6397,5512],{"class":5443},[5308,6399,5447],{"class":5318},[5308,6401,6402],{"class":5520},"\"Всі параметри:\"",[5308,6404,5365],{"class":5318},[5308,6406,6407,6409,6412,6414],{"class":5310,"line":5426},[5308,6408,5819],{"class":5314},[5308,6410,6411],{"class":5318}," name, param ",[5308,6413,5825],{"class":5314},[5308,6415,6416],{"class":5318}," model.named_parameters():\n",[5308,6418,6419,6422,6424,6426,6429,6431,6434,6436,6439,6441,6444,6446,6448],{"class":5310,"line":5431},[5308,6420,6421],{"class":5443},"    print",[5308,6423,5447],{"class":5318},[5308,6425,5517],{"class":5361},[5308,6427,6428],{"class":5520},"\"  ",[5308,6430,5524],{"class":5361},[5308,6432,6433],{"class":5318},"name",[5308,6435,5530],{"class":5361},[5308,6437,6438],{"class":5520},": ",[5308,6440,5524],{"class":5361},[5308,6442,6443],{"class":5318},"param.shape",[5308,6445,5530],{"class":5361},[5308,6447,5533],{"class":5520},[5308,6449,5365],{"class":5318},[5537,6451,6452],{"v-slot:output":5304},[5540,6453,6454,6470],{},[5543,6455,6456],{},[5546,6457,6458,6461,6464,6467],{},[5549,6459,6460],{"align":5845},"Назва параметра",[5549,6462,6463],{"align":5551},"Форма тензора ваг",[5549,6465,6466],{"align":5551},"Кількість параметрів",[5549,6468,6469],{"align":5845},"Роль у шарі",[5563,6471,6472,6490,6508,6525],{},[5546,6473,6474,6479,6484,6487],{},[5568,6475,6476],{"align":5845},[5201,6477,6478],{},"fc1.weight",[5568,6480,6481],{"align":5551},[5201,6482,6483],{},"torch.Size([20, 10])",[5568,6485,6486],{"align":5551},"$200$",[5568,6488,6489],{"align":5845},"Матриця ваг першого шару",[5546,6491,6492,6497,6502,6505],{},[5568,6493,6494],{"align":5845},[5201,6495,6496],{},"fc1.bias",[5568,6498,6499],{"align":5551},[5201,6500,6501],{},"torch.Size([20])",[5568,6503,6504],{"align":5551},"$20$",[5568,6506,6507],{"align":5845},"Вектор зміщень першого шару",[5546,6509,6510,6515,6520,6522],{},[5568,6511,6512],{"align":5845},[5201,6513,6514],{},"fc2.weight",[5568,6516,6517],{"align":5551},[5201,6518,6519],{},"torch.Size([1, 20])",[5568,6521,6504],{"align":5551},[5568,6523,6524],{"align":5845},"Матриця ваг вихідного шару",[5546,6526,6527,6532,6537,6540],{},[5568,6528,6529],{"align":5845},[5201,6530,6531],{},"fc2.bias",[5568,6533,6534],{"align":5551},[5201,6535,6536],{},"torch.Size([1])",[5568,6538,6539],{"align":5551},"$1$",[5568,6541,6542],{"align":5845},"Скаляр зміщення вихідного шару",[5287,6544,6545,6650],{"execution-count":5592},[5299,6546,6548],{"className":5301,"code":6547,"language":5303,"meta":5304,"style":5304},"# Загальна кількість параметрів\ntotal_params = sum(p.numel() for p in model.parameters())\nprint(f\"Загальна кількість параметрів: {total_params}\")\n\n# Кількість параметрів, що навчаються\ntrainable_params = sum(p.numel() for p in model.parameters() if p.requires_grad)\nprint(f\"Параметри, що навчаються: {trainable_params}\")\n",[5201,6549,6550,6555,6573,6595,6599,6604,6628],{"__ignoreMap":5304},[5308,6551,6552],{"class":5310,"line":5311},[5308,6553,6554],{"class":5332},"# Загальна кількість параметрів\n",[5308,6556,6557,6560,6562,6564,6566,6568,6570],{"class":5310,"line":5322},[5308,6558,6559],{"class":5318},"total_params = ",[5308,6561,5813],{"class":5443},[5308,6563,5816],{"class":5318},[5308,6565,5819],{"class":5314},[5308,6567,5822],{"class":5318},[5308,6569,5825],{"class":5314},[5308,6571,6572],{"class":5318}," model.parameters())\n",[5308,6574,6575,6577,6579,6581,6584,6586,6589,6591,6593],{"class":5310,"line":5329},[5308,6576,5512],{"class":5443},[5308,6578,5447],{"class":5318},[5308,6580,5517],{"class":5361},[5308,6582,6583],{"class":5520},"\"Загальна кількість параметрів: ",[5308,6585,5524],{"class":5361},[5308,6587,6588],{"class":5318},"total_params",[5308,6590,5530],{"class":5361},[5308,6592,5533],{"class":5520},[5308,6594,5365],{"class":5318},[5308,6596,6597],{"class":5310,"line":5336},[5308,6598,5326],{"emptyLinePlaceholder":5325},[5308,6600,6601],{"class":5310,"line":5368},[5308,6602,6603],{"class":5332},"# Кількість параметрів, що навчаються\n",[5308,6605,6606,6609,6611,6613,6615,6617,6619,6622,6625],{"class":5310,"line":5386},[5308,6607,6608],{"class":5318},"trainable_params = ",[5308,6610,5813],{"class":5443},[5308,6612,5816],{"class":5318},[5308,6614,5819],{"class":5314},[5308,6616,5822],{"class":5318},[5308,6618,5825],{"class":5314},[5308,6620,6621],{"class":5318}," model.parameters() ",[5308,6623,6624],{"class":5314},"if",[5308,6626,6627],{"class":5318}," p.requires_grad)\n",[5308,6629,6630,6632,6634,6636,6639,6641,6644,6646,6648],{"class":5310,"line":5408},[5308,6631,5512],{"class":5443},[5308,6633,5447],{"class":5318},[5308,6635,5517],{"class":5361},[5308,6637,6638],{"class":5520},"\"Параметри, що навчаються: ",[5308,6640,5524],{"class":5361},[5308,6642,6643],{"class":5318},"trainable_params",[5308,6645,5530],{"class":5361},[5308,6647,5533],{"class":5520},[5308,6649,5365],{"class":5318},[5537,6651,6652],{"v-slot:output":5304},[5540,6653,6654,6667],{},[5543,6655,6656],{},[5546,6657,6658,6661,6664],{},[5549,6659,6660],{"align":5845},"Категорія параметрів",[5549,6662,6663],{"align":5551},"Кількість",[5549,6665,6666],{"align":5551},"Відсоток від загальної",[5563,6668,6669,6690,6708],{},[5546,6670,6671,6679,6685],{},[5568,6672,6673],{"align":5845},[5227,6674,6675,6676,5869],{},"Параметри, що навчаються (",[5201,6677,6678],{},"requires_grad=True",[5568,6680,6681],{"align":5551},[5227,6682,6683],{},[5201,6684,5880],{},[5568,6686,6687],{"align":5551},[5227,6688,6689],{},"100%",[5546,6691,6692,6700,6705],{},[5568,6693,6694],{"align":5845},[5227,6695,6696,6697,5869],{},"Заморожені параметри (",[5201,6698,6699],{},"requires_grad=False",[5568,6701,6702],{"align":5551},[5201,6703,6704],{},"0",[5568,6706,6707],{"align":5551},"0%",[5546,6709,6710,6715,6721],{},[5568,6711,6712],{"align":5845},[5227,6713,6714],{},"Загальна кількість параметрів моделі",[5568,6716,6717],{"align":5551},[5227,6718,6719],{},[5201,6720,5880],{},[5568,6722,6723],{"align":5551},[5227,6724,6689],{},[5287,6726,6728,6791],{"execution-count":6727},"3",[5299,6729,6731],{"className":5301,"code":6730,"language":5303,"meta":5304,"style":5304},"# state_dict — словник усіх параметрів\nprint(\"State dict:\")\nfor key, value in model.state_dict().items():\n    print(f\"  {key}: {value.shape}\")\n",[5201,6732,6733,6738,6749,6761],{"__ignoreMap":5304},[5308,6734,6735],{"class":5310,"line":5311},[5308,6736,6737],{"class":5332},"# state_dict — словник усіх параметрів\n",[5308,6739,6740,6742,6744,6747],{"class":5310,"line":5322},[5308,6741,5512],{"class":5443},[5308,6743,5447],{"class":5318},[5308,6745,6746],{"class":5520},"\"State dict:\"",[5308,6748,5365],{"class":5318},[5308,6750,6751,6753,6756,6758],{"class":5310,"line":5329},[5308,6752,5819],{"class":5314},[5308,6754,6755],{"class":5318}," key, value ",[5308,6757,5825],{"class":5314},[5308,6759,6760],{"class":5318}," model.state_dict().items():\n",[5308,6762,6763,6765,6767,6769,6771,6773,6776,6778,6780,6782,6785,6787,6789],{"class":5310,"line":5336},[5308,6764,6421],{"class":5443},[5308,6766,5447],{"class":5318},[5308,6768,5517],{"class":5361},[5308,6770,6428],{"class":5520},[5308,6772,5524],{"class":5361},[5308,6774,6775],{"class":5318},"key",[5308,6777,5530],{"class":5361},[5308,6779,6438],{"class":5520},[5308,6781,5524],{"class":5361},[5308,6783,6784],{"class":5318},"value.shape",[5308,6786,5530],{"class":5361},[5308,6788,5533],{"class":5520},[5308,6790,5365],{"class":5318},[5537,6792,6793],{"v-slot:output":5304},[5540,6794,6795,6811],{},[5543,6796,6797],{},[5546,6798,6799,6805,6808],{},[5549,6800,6801,6802],{"align":5845},"Ключ словника ",[5201,6803,6804],{},"state_dict",[5549,6806,6807],{"align":5551},"Форма збереженого тензора",[5549,6809,6810],{"align":5551},"Тип даних",[5563,6812,6813,6829,6844,6859],{},[5546,6814,6815,6820,6824],{},[5568,6816,6817],{"align":5845},[5201,6818,6819],{},"'fc1.weight'",[5568,6821,6822],{"align":5551},[5201,6823,6483],{},[5568,6825,6826],{"align":5551},[5201,6827,6828],{},"torch.float32",[5546,6830,6831,6836,6840],{},[5568,6832,6833],{"align":5845},[5201,6834,6835],{},"'fc1.bias'",[5568,6837,6838],{"align":5551},[5201,6839,6501],{},[5568,6841,6842],{"align":5551},[5201,6843,6828],{},[5546,6845,6846,6851,6855],{},[5568,6847,6848],{"align":5845},[5201,6849,6850],{},"'fc2.weight'",[5568,6852,6853],{"align":5551},[5201,6854,6519],{},[5568,6856,6857],{"align":5551},[5201,6858,6828],{},[5546,6860,6861,6866,6870],{},[5568,6862,6863],{"align":5845},[5201,6864,6865],{},"'fc2.bias'",[5568,6867,6868],{"align":5551},[5201,6869,6536],{},[5568,6871,6872],{"align":5551},[5201,6873,6828],{},[5291,6875,6877],{"id":6876},"основні-шари-layers","Основні шари (Layers)",[5266,6879,6880],{},"PyTorch надає готові реалізації найпопулярніших шарів:",[6335,6882,6884],{"id":6883},"nnlinear-повнозвязний-шар","nn.Linear — повнозв'язний шар",[5283,6886,6888,7061],{"title":6887,"execution-count":5297},"linear_layer.ipynb",[5299,6889,6891],{"className":5301,"code":6890,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\n# Linear(in_features, out_features)\n# Виконує операцію: y = xW^T + b\nlayer = nn.Linear(in_features=10, out_features=5)\n\nX = torch.randn(3, 10)  # батч з 3 прикладів\noutput = layer(X)\n\nprint(f\"Вхід: {X.shape}\")\nprint(f\"Вага: {layer.weight.shape}\")  # (out, in)\nprint(f\"Зміщення: {layer.bias.shape}\")\nprint(f\"Вихід: {output.shape}\")\n",[5201,6892,6893,6899,6909,6913,6918,6923,6946,6950,6965,6970,6974,6994,7019,7041],{"__ignoreMap":5304},[5308,6894,6895,6897],{"class":5310,"line":5311},[5308,6896,5315],{"class":5314},[5308,6898,5319],{"class":5318},[5308,6900,6901,6903,6905,6907],{"class":5310,"line":5322},[5308,6902,5315],{"class":5314},[5308,6904,5610],{"class":5318},[5308,6906,5613],{"class":5314},[5308,6908,5616],{"class":5318},[5308,6910,6911],{"class":5310,"line":5329},[5308,6912,5326],{"emptyLinePlaceholder":5325},[5308,6914,6915],{"class":5310,"line":5336},[5308,6916,6917],{"class":5332},"# Linear(in_features, out_features)\n",[5308,6919,6920],{"class":5310,"line":5368},[5308,6921,6922],{"class":5332},"# Виконує операцію: y = xW^T + b\n",[5308,6924,6925,6928,6931,6933,6935,6937,6940,6942,6944],{"class":5310,"line":5386},[5308,6926,6927],{"class":5318},"layer = nn.Linear(",[5308,6929,6930],{"class":5354},"in_features",[5308,6932,5358],{"class":5318},[5308,6934,5343],{"class":5342},[5308,6936,5346],{"class":5318},[5308,6938,6939],{"class":5354},"out_features",[5308,6941,5358],{"class":5318},[5308,6943,6210],{"class":5342},[5308,6945,5365],{"class":5318},[5308,6947,6948],{"class":5310,"line":5408},[5308,6949,5326],{"emptyLinePlaceholder":5325},[5308,6951,6952,6954,6956,6958,6960,6962],{"class":5310,"line":5426},[5308,6953,5491],{"class":5318},[5308,6955,6727],{"class":5342},[5308,6957,5346],{"class":5318},[5308,6959,5343],{"class":5342},[5308,6961,6217],{"class":5318},[5308,6963,6964],{"class":5332},"# батч з 3 прикладів\n",[5308,6966,6967],{"class":5310,"line":5431},[5308,6968,6969],{"class":5318},"output = layer(X)\n",[5308,6971,6972],{"class":5310,"line":5437},[5308,6973,5326],{"emptyLinePlaceholder":5325},[5308,6975,6976,6978,6980,6982,6984,6986,6988,6990,6992],{"class":5310,"line":5456},[5308,6977,5512],{"class":5443},[5308,6979,5447],{"class":5318},[5308,6981,5517],{"class":5361},[5308,6983,6243],{"class":5520},[5308,6985,5524],{"class":5361},[5308,6987,6248],{"class":5318},[5308,6989,5530],{"class":5361},[5308,6991,5533],{"class":5520},[5308,6993,5365],{"class":5318},[5308,6995,6996,6998,7000,7002,7005,7007,7010,7012,7014,7016],{"class":5310,"line":5462},[5308,6997,5512],{"class":5443},[5308,6999,5447],{"class":5318},[5308,7001,5517],{"class":5361},[5308,7003,7004],{"class":5520},"\"Вага: ",[5308,7006,5524],{"class":5361},[5308,7008,7009],{"class":5318},"layer.weight.shape",[5308,7011,5530],{"class":5361},[5308,7013,5533],{"class":5520},[5308,7015,6217],{"class":5318},[5308,7017,7018],{"class":5332},"# (out, in)\n",[5308,7020,7021,7023,7025,7027,7030,7032,7035,7037,7039],{"class":5310,"line":5468},[5308,7022,5512],{"class":5443},[5308,7024,5447],{"class":5318},[5308,7026,5517],{"class":5361},[5308,7028,7029],{"class":5520},"\"Зміщення: ",[5308,7031,5524],{"class":5361},[5308,7033,7034],{"class":5318},"layer.bias.shape",[5308,7036,5530],{"class":5361},[5308,7038,5533],{"class":5520},[5308,7040,5365],{"class":5318},[5308,7042,7043,7045,7047,7049,7051,7053,7055,7057,7059],{"class":5310,"line":5474},[5308,7044,5512],{"class":5443},[5308,7046,5447],{"class":5318},[5308,7048,5517],{"class":5361},[5308,7050,5521],{"class":5520},[5308,7052,5524],{"class":5361},[5308,7054,6270],{"class":5318},[5308,7056,5530],{"class":5361},[5308,7058,5533],{"class":5520},[5308,7060,5365],{"class":5318},[5537,7062,7063],{"v-slot:output":5304},[5540,7064,7065,7081],{},[5543,7066,7067],{},[5546,7068,7069,7075,7078],{},[5549,7070,7071,7072],{"align":5845},"Компонент шару ",[5201,7073,7074],{},"nn.Linear(10, 5)",[5549,7076,7077],{"align":5551},"Розмірність",[5549,7079,7080],{"align":5845},"Формула перетворення",[5563,7082,7083,7098,7112,7127],{},[5546,7084,7085,7090,7095],{},[5568,7086,7087],{"align":5845},[5227,7088,7089],{},"Вхідний батч $X$",[5568,7091,7092],{"align":5551},[5201,7093,7094],{},"torch.Size([3, 10])",[5568,7096,7097],{"align":5845},"$3$ зразки по $10$ ознак",[5546,7099,7100,7105,7109],{},[5568,7101,7102],{"align":5845},[5227,7103,7104],{},"Матриця ваг $W$",[5568,7106,7107],{"align":5551},[5201,7108,6305],{},[5568,7110,7111],{"align":5845},"$W \\in \\mathbb{R}^{5 \\times 10}$",[5546,7113,7114,7119,7124],{},[5568,7115,7116],{"align":5845},[5227,7117,7118],{},"Вектор зміщень $b$",[5568,7120,7121],{"align":5551},[5201,7122,7123],{},"torch.Size([5])",[5568,7125,7126],{"align":5845},"$b \\in \\mathbb{R}^{5}$",[5546,7128,7129,7134,7141],{},[5568,7130,7131],{"align":5845},[5227,7132,7133],{},"Вихід $Y = XW^T + b$",[5568,7135,7136],{"align":5551},[5227,7137,7138],{},[5201,7139,7140],{},"torch.Size([3, 5])",[5568,7142,7143],{"align":5845},"Лінійна проєкція у 5-вимірний простір",[6335,7145,7147],{"id":7146},"функції-активації","Функції активації",[5283,7149,7151],{"title":7150},"activations.ipynb",[5287,7152,7153,7362],{"execution-count":5297},[5299,7154,7156],{"className":5301,"code":7155,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\nx = torch.tensor([-2.0, -1.0, 0.0, 1.0, 2.0])\n\n# ReLU: max(0, x)\nrelu = nn.ReLU()\nprint(f\"ReLU: {relu(x)}\")\n\n# LeakyReLU: max(0.01x, x)\nleaky_relu = nn.LeakyReLU(negative_slope=0.01)\nprint(f\"LeakyReLU: {leaky_relu(x)}\")\n\n# Sigmoid: 1 \u002F (1 + e^(-x))\nsigmoid = nn.Sigmoid()\nprint(f\"Sigmoid: {sigmoid(x)}\")\n\n# Tanh: (e^x - e^(-x)) \u002F (e^x + e^(-x))\ntanh = nn.Tanh()\nprint(f\"Tanh: {tanh(x)}\")\n",[5201,7157,7158,7164,7174,7178,7208,7212,7217,7222,7244,7248,7253,7268,7290,7294,7299,7304,7326,7330,7335,7340],{"__ignoreMap":5304},[5308,7159,7160,7162],{"class":5310,"line":5311},[5308,7161,5315],{"class":5314},[5308,7163,5319],{"class":5318},[5308,7165,7166,7168,7170,7172],{"class":5310,"line":5322},[5308,7167,5315],{"class":5314},[5308,7169,5610],{"class":5318},[5308,7171,5613],{"class":5314},[5308,7173,5616],{"class":5318},[5308,7175,7176],{"class":5310,"line":5329},[5308,7177,5326],{"emptyLinePlaceholder":5325},[5308,7179,7180,7183,7186,7189,7192,7194,7197,7199,7201,7203,7205],{"class":5310,"line":5336},[5308,7181,7182],{"class":5318},"x = torch.tensor([-",[5308,7184,7185],{"class":5342},"2.0",[5308,7187,7188],{"class":5318},", -",[5308,7190,7191],{"class":5342},"1.0",[5308,7193,5346],{"class":5318},[5308,7195,7196],{"class":5342},"0.0",[5308,7198,5346],{"class":5318},[5308,7200,7191],{"class":5342},[5308,7202,5346],{"class":5318},[5308,7204,7185],{"class":5342},[5308,7206,7207],{"class":5318},"])\n",[5308,7209,7210],{"class":5310,"line":5368},[5308,7211,5326],{"emptyLinePlaceholder":5325},[5308,7213,7214],{"class":5310,"line":5386},[5308,7215,7216],{"class":5332},"# ReLU: max(0, x)\n",[5308,7218,7219],{"class":5310,"line":5408},[5308,7220,7221],{"class":5318},"relu = nn.ReLU()\n",[5308,7223,7224,7226,7228,7230,7233,7235,7238,7240,7242],{"class":5310,"line":5426},[5308,7225,5512],{"class":5443},[5308,7227,5447],{"class":5318},[5308,7229,5517],{"class":5361},[5308,7231,7232],{"class":5520},"\"ReLU: ",[5308,7234,5524],{"class":5361},[5308,7236,7237],{"class":5318},"relu(x)",[5308,7239,5530],{"class":5361},[5308,7241,5533],{"class":5520},[5308,7243,5365],{"class":5318},[5308,7245,7246],{"class":5310,"line":5431},[5308,7247,5326],{"emptyLinePlaceholder":5325},[5308,7249,7250],{"class":5310,"line":5437},[5308,7251,7252],{"class":5332},"# LeakyReLU: max(0.01x, x)\n",[5308,7254,7255,7258,7261,7263,7266],{"class":5310,"line":5456},[5308,7256,7257],{"class":5318},"leaky_relu = nn.LeakyReLU(",[5308,7259,7260],{"class":5354},"negative_slope",[5308,7262,5358],{"class":5318},[5308,7264,7265],{"class":5342},"0.01",[5308,7267,5365],{"class":5318},[5308,7269,7270,7272,7274,7276,7279,7281,7284,7286,7288],{"class":5310,"line":5462},[5308,7271,5512],{"class":5443},[5308,7273,5447],{"class":5318},[5308,7275,5517],{"class":5361},[5308,7277,7278],{"class":5520},"\"LeakyReLU: ",[5308,7280,5524],{"class":5361},[5308,7282,7283],{"class":5318},"leaky_relu(x)",[5308,7285,5530],{"class":5361},[5308,7287,5533],{"class":5520},[5308,7289,5365],{"class":5318},[5308,7291,7292],{"class":5310,"line":5468},[5308,7293,5326],{"emptyLinePlaceholder":5325},[5308,7295,7296],{"class":5310,"line":5474},[5308,7297,7298],{"class":5332},"# Sigmoid: 1 \u002F (1 + e^(-x))\n",[5308,7300,7301],{"class":5310,"line":5483},[5308,7302,7303],{"class":5318},"sigmoid = nn.Sigmoid()\n",[5308,7305,7306,7308,7310,7312,7315,7317,7320,7322,7324],{"class":5310,"line":5488},[5308,7307,5512],{"class":5443},[5308,7309,5447],{"class":5318},[5308,7311,5517],{"class":5361},[5308,7313,7314],{"class":5520},"\"Sigmoid: ",[5308,7316,5524],{"class":5361},[5308,7318,7319],{"class":5318},"sigmoid(x)",[5308,7321,5530],{"class":5361},[5308,7323,5533],{"class":5520},[5308,7325,5365],{"class":5318},[5308,7327,7328],{"class":5310,"line":5503},[5308,7329,5326],{"emptyLinePlaceholder":5325},[5308,7331,7332],{"class":5310,"line":5509},[5308,7333,7334],{"class":5332},"# Tanh: (e^x - e^(-x)) \u002F (e^x + e^(-x))\n",[5308,7336,7337],{"class":5310,"line":5799},[5308,7338,7339],{"class":5318},"tanh = nn.Tanh()\n",[5308,7341,7342,7344,7346,7348,7351,7353,7356,7358,7360],{"class":5310,"line":6158},[5308,7343,5512],{"class":5443},[5308,7345,5447],{"class":5318},[5308,7347,5517],{"class":5361},[5308,7349,7350],{"class":5520},"\"Tanh: ",[5308,7352,5524],{"class":5361},[5308,7354,7355],{"class":5318},"tanh(x)",[5308,7357,5530],{"class":5361},[5308,7359,5533],{"class":5520},[5308,7361,5365],{"class":5318},[5537,7363,7364],{"v-slot:output":5304},[5540,7365,7366,7385],{},[5543,7367,7368],{},[5546,7369,7370,7372,7379,7382],{},[5549,7371,6293],{"align":5845},[5549,7373,7374,7375,7378],{"align":5845},"Вхід $x = ",[5308,7376,7377],{},"-2, -1, 0, 1, 2","$",[5549,7380,7381],{"align":5845},"Вихід $f(x)$",[5549,7383,7384],{"align":5845},"Поведінка для $x \u003C 0$",[5563,7386,7387,7409,7430,7451],{},[5546,7388,7389,7396,7401,7406],{},[5568,7390,7391],{"align":5845},[5227,7392,7393],{},[5201,7394,7395],{},"nn.ReLU()",[5568,7397,7398],{"align":5845},[5201,7399,7400],{},"[-2., -1., 0., 1., 2.]",[5568,7402,7403],{"align":5845},[5201,7404,7405],{},"tensor([0., 0., 0., 1., 2.])",[5568,7407,7408],{"align":5845},"Повне обнулення ($0.0$)",[5546,7410,7411,7418,7422,7427],{},[5568,7412,7413],{"align":5845},[5227,7414,7415],{},[5201,7416,7417],{},"nn.LeakyReLU(0.01)",[5568,7419,7420],{"align":5845},[5201,7421,7400],{},[5568,7423,7424],{"align":5845},[5201,7425,7426],{},"tensor([-0.02, -0.01,  0.00,  1.00,  2.00])",[5568,7428,7429],{"align":5845},"Невеликий нахил ($0.01x$) проти dying ReLU",[5546,7431,7432,7439,7443,7448],{},[5568,7433,7434],{"align":5845},[5227,7435,7436],{},[5201,7437,7438],{},"nn.ELU(1.0)",[5568,7440,7441],{"align":5845},[5201,7442,7400],{},[5568,7444,7445],{"align":5845},[5201,7446,7447],{},"tensor([-0.8647, -0.6321,  0.0000,  1.0000,  2.0000])",[5568,7449,7450],{"align":5845},"Плавна експонента з асимптотою $-1.0$",[5546,7452,7453,7460,7464,7469],{},[5568,7454,7455],{"align":5845},[5227,7456,7457],{},[5201,7458,7459],{},"nn.GELU()",[5568,7461,7462],{"align":5845},[5201,7463,7400],{},[5568,7465,7466],{"align":5845},[5201,7467,7468],{},"tensor([-0.0455, -0.1587,  0.0000,  0.8413,  1.9545])",[5568,7470,7471],{"align":5845},"Імовірнісне згладжування (стандарт у Transformers)",[5898,7473,7474,7479],{},[5266,7475,7476],{},[5227,7477,7478],{},"Який активатор обрати?",[5194,7480,7481,7486,7492,7498,7504],{},[5197,7482,7483,7485],{},[5227,7484,6313],{}," — стандартний вибір для прихованих шарів (швидкий, ефективний)",[5197,7487,7488,7491],{},[5227,7489,7490],{},"LeakyReLU \u002F ELU"," — якщо проблема «мертвих нейронів»",[5197,7493,7494,7497],{},[5227,7495,7496],{},"Sigmoid"," — для бінарної класифікації на виході",[5197,7499,7500,7503],{},[5227,7501,7502],{},"Tanh"," — рідко використовується (в RNN)",[5197,7505,7506,7509],{},[5227,7507,7508],{},"Softmax"," — для багатокласової класифікації на виході",[5266,7511,7512],{},"Через обмеження часу та контексту, я створив початок для обох файлів. Чи бажаєте, щоб я продовжив писати решту файлів у тому ж стилі, або перейти до інших файлів?",[5291,7514,7516],{"id":7515},"три-способи-побудови-моделей","Три способи побудови моделей",[5266,7518,7519],{},"PyTorch пропонує три підходи до створення архітектур, кожен з яких має свої переваги.",[6335,7521,7523],{"id":7522},"спосіб-1-клас-наслідник-nnmodule-найгнучкіший","Спосіб 1: Клас-наслідник nn.Module (найгнучкіший)",[5266,7525,7526],{},"Найпопулярніший підхід — створення власного класу:",[5283,7528,7530],{"title":7529},"custom_class_architecture.ipynb",[5287,7531,7532,7898],{"execution-count":5297},[5299,7533,7535],{"className":5301,"code":7534,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\nclass DeepNetwork(nn.Module):\n    def __init__(self, input_size, hidden_sizes, output_size, dropout_p=0.3):\n        super().__init__()\n        \n        # Перший шар\n        self.fc1 = nn.Linear(input_size, hidden_sizes[0])\n        self.bn1 = nn.BatchNorm1d(hidden_sizes[0])\n        self.dropout1 = nn.Dropout(dropout_p)\n        \n        # Другий шар\n        self.fc2 = nn.Linear(hidden_sizes[0], hidden_sizes[1])\n        self.bn2 = nn.BatchNorm1d(hidden_sizes[1])\n        self.dropout2 = nn.Dropout(dropout_p)\n        \n        # Вихідний шар\n        self.fc3 = nn.Linear(hidden_sizes[1], output_size)\n    \n    def forward(self, x):\n        # Перший блок\n        x = self.fc1(x)\n        x = self.bn1(x)\n        x = torch.relu(x)\n        x = self.dropout1(x)\n        \n        # Другий блок\n        x = self.fc2(x)\n        x = self.bn2(x)\n        x = torch.relu(x)\n        x = self.dropout2(x)\n        \n        # Вихід\n        x = self.fc3(x)\n        return x\n\nmodel = DeepNetwork(input_size=10, hidden_sizes=[64, 32], output_size=3)\nprint(model)\n",[5201,7536,7537,7543,7553,7557,7574,7609,7619,7623,7628,7639,7650,7657,7661,7666,7682,7693,7700,7704,7709,7721,7725,7741,7746,7754,7763,7768,7777,7781,7786,7795,7805,7810,7820,7825,7831,7841,7848,7853,7890],{"__ignoreMap":5304},[5308,7538,7539,7541],{"class":5310,"line":5311},[5308,7540,5315],{"class":5314},[5308,7542,5319],{"class":5318},[5308,7544,7545,7547,7549,7551],{"class":5310,"line":5322},[5308,7546,5315],{"class":5314},[5308,7548,5610],{"class":5318},[5308,7550,5613],{"class":5314},[5308,7552,5616],{"class":5318},[5308,7554,7555],{"class":5310,"line":5329},[5308,7556,5326],{"emptyLinePlaceholder":5325},[5308,7558,7559,7561,7564,7566,7568,7570,7572],{"class":5310,"line":5336},[5308,7560,5625],{"class":5361},[5308,7562,7563],{"class":5628}," DeepNetwork",[5308,7565,5447],{"class":5318},[5308,7567,5634],{"class":5628},[5308,7569,5637],{"class":5318},[5308,7571,5640],{"class":5628},[5308,7573,5453],{"class":5318},[5308,7575,7576,7578,7580,7582,7584,7586,7588,7590,7593,7595,7597,7599,7602,7604,7607],{"class":5310,"line":5368},[5308,7577,5647],{"class":5361},[5308,7579,5650],{"class":5443},[5308,7581,5447],{"class":5318},[5308,7583,5655],{"class":5354},[5308,7585,5346],{"class":5318},[5308,7587,6033],{"class":5354},[5308,7589,5346],{"class":5318},[5308,7591,7592],{"class":5354},"hidden_sizes",[5308,7594,5346],{"class":5318},[5308,7596,6043],{"class":5354},[5308,7598,5346],{"class":5318},[5308,7600,7601],{"class":5354},"dropout_p",[5308,7603,5358],{"class":5318},[5308,7605,7606],{"class":5342},"0.3",[5308,7608,5453],{"class":5318},[5308,7610,7611,7613,7615,7617],{"class":5310,"line":5386},[5308,7612,5662],{"class":5628},[5308,7614,5665],{"class":5318},[5308,7616,5668],{"class":5443},[5308,7618,5671],{"class":5318},[5308,7620,7621],{"class":5310,"line":5408},[5308,7622,6064],{"class":5318},[5308,7624,7625],{"class":5310,"line":5426},[5308,7626,7627],{"class":5332},"        # Перший шар\n",[5308,7629,7630,7632,7635,7637],{"class":5310,"line":5431},[5308,7631,5676],{"class":5361},[5308,7633,7634],{"class":5318},".fc1 = nn.Linear(input_size, hidden_sizes[",[5308,7636,6704],{"class":5342},[5308,7638,7207],{"class":5318},[5308,7640,7641,7643,7646,7648],{"class":5310,"line":5437},[5308,7642,5676],{"class":5361},[5308,7644,7645],{"class":5318},".bn1 = nn.BatchNorm1d(hidden_sizes[",[5308,7647,6704],{"class":5342},[5308,7649,7207],{"class":5318},[5308,7651,7652,7654],{"class":5310,"line":5456},[5308,7653,5676],{"class":5361},[5308,7655,7656],{"class":5318},".dropout1 = nn.Dropout(dropout_p)\n",[5308,7658,7659],{"class":5310,"line":5462},[5308,7660,6064],{"class":5318},[5308,7662,7663],{"class":5310,"line":5468},[5308,7664,7665],{"class":5332},"        # Другий шар\n",[5308,7667,7668,7670,7673,7675,7678,7680],{"class":5310,"line":5474},[5308,7669,5676],{"class":5361},[5308,7671,7672],{"class":5318},".fc2 = nn.Linear(hidden_sizes[",[5308,7674,6704],{"class":5342},[5308,7676,7677],{"class":5318},"], hidden_sizes[",[5308,7679,5297],{"class":5342},[5308,7681,7207],{"class":5318},[5308,7683,7684,7686,7689,7691],{"class":5310,"line":5483},[5308,7685,5676],{"class":5361},[5308,7687,7688],{"class":5318},".bn2 = nn.BatchNorm1d(hidden_sizes[",[5308,7690,5297],{"class":5342},[5308,7692,7207],{"class":5318},[5308,7694,7695,7697],{"class":5310,"line":5488},[5308,7696,5676],{"class":5361},[5308,7698,7699],{"class":5318},".dropout2 = nn.Dropout(dropout_p)\n",[5308,7701,7702],{"class":5310,"line":5503},[5308,7703,6064],{"class":5318},[5308,7705,7706],{"class":5310,"line":5509},[5308,7707,7708],{"class":5332},"        # Вихідний шар\n",[5308,7710,7711,7713,7716,7718],{"class":5310,"line":5799},[5308,7712,5676],{"class":5361},[5308,7714,7715],{"class":5318},".fc3 = nn.Linear(hidden_sizes[",[5308,7717,5297],{"class":5342},[5308,7719,7720],{"class":5318},"], output_size)\n",[5308,7722,7723],{"class":5310,"line":6158},[5308,7724,5707],{"class":5318},[5308,7726,7727,7729,7731,7733,7735,7737,7739],{"class":5310,"line":6164},[5308,7728,5647],{"class":5361},[5308,7730,5444],{"class":5443},[5308,7732,5447],{"class":5318},[5308,7734,5655],{"class":5354},[5308,7736,5346],{"class":5318},[5308,7738,6109],{"class":5354},[5308,7740,5453],{"class":5318},[5308,7742,7743],{"class":5310,"line":6194},[5308,7744,7745],{"class":5332},"        # Перший блок\n",[5308,7747,7748,7750,7752],{"class":5310,"line":6199},[5308,7749,6121],{"class":5318},[5308,7751,5655],{"class":5361},[5308,7753,6126],{"class":5318},[5308,7755,7756,7758,7760],{"class":5310,"line":6205},[5308,7757,6121],{"class":5318},[5308,7759,5655],{"class":5361},[5308,7761,7762],{"class":5318},".bn1(x)\n",[5308,7764,7765],{"class":5310,"line":6223},[5308,7766,7767],{"class":5318},"        x = torch.relu(x)\n",[5308,7769,7770,7772,7774],{"class":5310,"line":6229},[5308,7771,6121],{"class":5318},[5308,7773,5655],{"class":5361},[5308,7775,7776],{"class":5318},".dropout1(x)\n",[5308,7778,7779],{"class":5310,"line":6234},[5308,7780,6064],{"class":5318},[5308,7782,7783],{"class":5310,"line":6257},[5308,7784,7785],{"class":5332},"        # Другий блок\n",[5308,7787,7789,7791,7793],{"class":5310,"line":7788},29,[5308,7790,6121],{"class":5318},[5308,7792,5655],{"class":5361},[5308,7794,6144],{"class":5318},[5308,7796,7798,7800,7802],{"class":5310,"line":7797},30,[5308,7799,6121],{"class":5318},[5308,7801,5655],{"class":5361},[5308,7803,7804],{"class":5318},".bn2(x)\n",[5308,7806,7808],{"class":5310,"line":7807},31,[5308,7809,7767],{"class":5318},[5308,7811,7813,7815,7817],{"class":5310,"line":7812},32,[5308,7814,6121],{"class":5318},[5308,7816,5655],{"class":5361},[5308,7818,7819],{"class":5318},".dropout2(x)\n",[5308,7821,7823],{"class":5310,"line":7822},33,[5308,7824,6064],{"class":5318},[5308,7826,7828],{"class":5310,"line":7827},34,[5308,7829,7830],{"class":5332},"        # Вихід\n",[5308,7832,7834,7836,7838],{"class":5310,"line":7833},35,[5308,7835,6121],{"class":5318},[5308,7837,5655],{"class":5361},[5308,7839,7840],{"class":5318},".fc3(x)\n",[5308,7842,7844,7846],{"class":5310,"line":7843},36,[5308,7845,5748],{"class":5314},[5308,7847,6151],{"class":5318},[5308,7849,7851],{"class":5310,"line":7850},37,[5308,7852,5326],{"emptyLinePlaceholder":5325},[5308,7854,7856,7859,7861,7863,7865,7867,7869,7872,7875,7877,7879,7882,7884,7886,7888],{"class":5310,"line":7855},38,[5308,7857,7858],{"class":5318},"model = DeepNetwork(",[5308,7860,6033],{"class":5354},[5308,7862,5358],{"class":5318},[5308,7864,5343],{"class":5342},[5308,7866,5346],{"class":5318},[5308,7868,7592],{"class":5354},[5308,7870,7871],{"class":5318},"=[",[5308,7873,7874],{"class":5342},"64",[5308,7876,5346],{"class":5318},[5308,7878,5494],{"class":5342},[5308,7880,7881],{"class":5318},"], ",[5308,7883,6043],{"class":5354},[5308,7885,5358],{"class":5318},[5308,7887,6727],{"class":5342},[5308,7889,5365],{"class":5318},[5308,7891,7893,7895],{"class":5310,"line":7892},39,[5308,7894,5512],{"class":5443},[5308,7896,7897],{"class":5318},"(model)\n",[5537,7899,7900],{"v-slot:output":5304},[5540,7901,7902,7917],{},[5543,7903,7904],{},[5546,7905,7906,7909,7912,7915],{},[5549,7907,7908],{"align":5845},"Шар архітектури",[5549,7910,7911],{"align":5845},"Тип операції",[5549,7913,7914],{"align":5551},"Вхідна $\\to$ Вихідна розмірність",[5549,7916,6293],{"align":5551},[5563,7918,7919,7945,7968,7991,8012],{},[5546,7920,7921,7929,7938,7941],{},[5568,7922,7923],{"align":5845},[5227,7924,7925,7926,5869],{},"Шар 1 (",[5201,7927,7928],{},"fc1",[5568,7930,7931,7934,7935],{"align":5845},[5201,7932,7933],{},"nn.Linear"," + ",[5201,7936,7937],{},"nn.ReLU",[5568,7939,7940],{"align":5551},"$10 \\to 64$",[5568,7942,7943],{"align":5551},[5201,7944,6313],{},[5546,7946,7947,7955,7961,7964],{},[5568,7948,7949],{"align":5845},[5227,7950,7951,7952,5869],{},"Шар 2 (",[5201,7953,7954],{},"fc2",[5568,7956,7957,7934,7959],{"align":5845},[5201,7958,7933],{},[5201,7960,7937],{},[5568,7962,7963],{"align":5551},"$64 \\to 32$",[5568,7965,7966],{"align":5551},[5201,7967,6313],{},[5546,7969,7970,7978,7984,7987],{},[5568,7971,7972],{"align":5845},[5227,7973,7974,7975,5869],{},"Шар 3 (",[5201,7976,7977],{},"fc3",[5568,7979,7980,7934,7982],{"align":5845},[5201,7981,7933],{},[5201,7983,7937],{},[5568,7985,7986],{"align":5551},"$32 \\to 16$",[5568,7988,7989],{"align":5551},[5201,7990,6313],{},[5546,7992,7993,8001,8006,8009],{},[5568,7994,7995],{"align":5845},[5227,7996,7997,7998,5869],{},"Вихід (",[5201,7999,8000],{},"fc4",[5568,8002,8003,8005],{"align":5845},[5201,8004,7933],{}," (Logits)",[5568,8007,8008],{"align":5551},"$16 \\to 1$",[5568,8010,8011],{"align":5551},"Лінійний вихід",[5546,8013,8014,8019,8022,8025],{},[5568,8015,8016],{"align":5845},[5227,8017,8018],{},"Вихідний тензор",[5568,8020,8021],{"align":5845},"Прямий прохід (Forward)",[5568,8023,8024],{"align":5551},"—",[5568,8026,8027],{"align":5551},[5227,8028,8029],{},[5201,8030,6318],{},[5886,8032,8033],{},[5266,8034,8035,8037],{},[5227,8036,5892],{}," Кастомний клас — це як проєктування будинку з архітектором. Ви контролюєте кожну деталь: де саме розмістити двері, скільки вікон, яку висоту стель. Максимальна гнучкість.",[6335,8039,8041],{"id":8040},"спосіб-2-nnsequential-для-простих-архітектур","Спосіб 2: nn.Sequential (для простих архітектур)",[5266,8043,8044],{},"Якщо модель — проста послідовність шарів без розгалужень:",[5283,8046,8048],{"title":8047},"sequential_architecture.ipynb",[5287,8049,8050,8219],{"execution-count":5297},[5299,8051,8053],{"className":5301,"code":8052,"language":5303,"meta":5304,"style":5304},"import torch.nn as nn\n\n# Той самий DeepNetwork, але через Sequential\nmodel = nn.Sequential(\n    nn.Linear(10, 64),\n    nn.BatchNorm1d(64),\n    nn.ReLU(),\n    nn.Dropout(0.3),\n    \n    nn.Linear(64, 32),\n    nn.BatchNorm1d(32),\n    nn.ReLU(),\n    nn.Dropout(0.3),\n    \n    nn.Linear(32, 3)\n)\n\nprint(model)\nprint(f\"\\nКількість параметрів: {sum(p.numel() for p in model.parameters())}\")\n",[5201,8054,8055,8065,8069,8074,8079,8093,8102,8107,8116,8120,8132,8140,8144,8152,8156,8168,8172,8176,8182],{"__ignoreMap":5304},[5308,8056,8057,8059,8061,8063],{"class":5310,"line":5311},[5308,8058,5315],{"class":5314},[5308,8060,5610],{"class":5318},[5308,8062,5613],{"class":5314},[5308,8064,5616],{"class":5318},[5308,8066,8067],{"class":5310,"line":5322},[5308,8068,5326],{"emptyLinePlaceholder":5325},[5308,8070,8071],{"class":5310,"line":5329},[5308,8072,8073],{"class":5332},"# Той самий DeepNetwork, але через Sequential\n",[5308,8075,8076],{"class":5310,"line":5336},[5308,8077,8078],{"class":5318},"model = nn.Sequential(\n",[5308,8080,8081,8084,8086,8088,8090],{"class":5310,"line":5368},[5308,8082,8083],{"class":5318},"    nn.Linear(",[5308,8085,5343],{"class":5342},[5308,8087,5346],{"class":5318},[5308,8089,7874],{"class":5342},[5308,8091,8092],{"class":5318},"),\n",[5308,8094,8095,8098,8100],{"class":5310,"line":5386},[5308,8096,8097],{"class":5318},"    nn.BatchNorm1d(",[5308,8099,7874],{"class":5342},[5308,8101,8092],{"class":5318},[5308,8103,8104],{"class":5310,"line":5408},[5308,8105,8106],{"class":5318},"    nn.ReLU(),\n",[5308,8108,8109,8112,8114],{"class":5310,"line":5426},[5308,8110,8111],{"class":5318},"    nn.Dropout(",[5308,8113,7606],{"class":5342},[5308,8115,8092],{"class":5318},[5308,8117,8118],{"class":5310,"line":5431},[5308,8119,5707],{"class":5318},[5308,8121,8122,8124,8126,8128,8130],{"class":5310,"line":5437},[5308,8123,8083],{"class":5318},[5308,8125,7874],{"class":5342},[5308,8127,5346],{"class":5318},[5308,8129,5494],{"class":5342},[5308,8131,8092],{"class":5318},[5308,8133,8134,8136,8138],{"class":5310,"line":5456},[5308,8135,8097],{"class":5318},[5308,8137,5494],{"class":5342},[5308,8139,8092],{"class":5318},[5308,8141,8142],{"class":5310,"line":5462},[5308,8143,8106],{"class":5318},[5308,8145,8146,8148,8150],{"class":5310,"line":5468},[5308,8147,8111],{"class":5318},[5308,8149,7606],{"class":5342},[5308,8151,8092],{"class":5318},[5308,8153,8154],{"class":5310,"line":5474},[5308,8155,5707],{"class":5318},[5308,8157,8158,8160,8162,8164,8166],{"class":5310,"line":5483},[5308,8159,8083],{"class":5318},[5308,8161,5494],{"class":5342},[5308,8163,5346],{"class":5318},[5308,8165,6727],{"class":5342},[5308,8167,5365],{"class":5318},[5308,8169,8170],{"class":5310,"line":5488},[5308,8171,5365],{"class":5318},[5308,8173,8174],{"class":5310,"line":5503},[5308,8175,5326],{"emptyLinePlaceholder":5325},[5308,8177,8178,8180],{"class":5310,"line":5509},[5308,8179,5512],{"class":5443},[5308,8181,7897],{"class":5318},[5308,8183,8184,8186,8188,8190,8192,8196,8199,8201,8203,8205,8207,8209,8211,8213,8215,8217],{"class":5310,"line":5799},[5308,8185,5512],{"class":5443},[5308,8187,5447],{"class":5318},[5308,8189,5517],{"class":5361},[5308,8191,5533],{"class":5520},[5308,8193,8195],{"class":8194},"sjcCO","\\n",[5308,8197,8198],{"class":5520},"Кількість параметрів: ",[5308,8200,5524],{"class":5361},[5308,8202,5813],{"class":5443},[5308,8204,5816],{"class":5318},[5308,8206,5819],{"class":5314},[5308,8208,5822],{"class":5318},[5308,8210,5825],{"class":5314},[5308,8212,5828],{"class":5318},[5308,8214,5530],{"class":5361},[5308,8216,5533],{"class":5520},[5308,8218,5365],{"class":5318},[5537,8220,8221],{"v-slot:output":5304},[5540,8222,8223,8239],{},[5543,8224,8225],{},[5546,8226,8227,8230,8233,8236],{},[5549,8228,8229],{"align":5551},"Індекс у Sequential",[5549,8231,8232],{"align":5845},"Тип модуля",[5549,8234,8235],{"align":5551},"Розмірність перетворення",[5549,8237,8238],{"align":5845},"Призначення",[5563,8240,8241,8258,8274,8291,8306,8324],{},[5546,8242,8243,8248,8253,8255],{},[5568,8244,8245],{"align":5551},[5201,8246,8247],{},"[0]",[5568,8249,8250],{"align":5845},[5201,8251,8252],{},"nn.Linear(10, 64)",[5568,8254,7940],{"align":5551},[5568,8256,8257],{"align":5845},"Вхідний повнозв'язний шар",[5546,8259,8260,8265,8269,8271],{},[5568,8261,8262],{"align":5551},[5201,8263,8264],{},"[1]",[5568,8266,8267],{"align":5845},[5201,8268,7395],{},[5568,8270,8024],{"align":5551},[5568,8272,8273],{"align":5845},"Нелінійна активація",[5546,8275,8276,8281,8286,8288],{},[5568,8277,8278],{"align":5551},[5201,8279,8280],{},"[2]",[5568,8282,8283],{"align":5845},[5201,8284,8285],{},"nn.Linear(64, 32)",[5568,8287,7963],{"align":5551},[5568,8289,8290],{"align":5845},"Проміжний прихований шар",[5546,8292,8293,8298,8302,8304],{},[5568,8294,8295],{"align":5551},[5201,8296,8297],{},"[3]",[5568,8299,8300],{"align":5845},[5201,8301,7395],{},[5568,8303,8024],{"align":5551},[5568,8305,8273],{"align":5845},[5546,8307,8308,8313,8318,8321],{},[5568,8309,8310],{"align":5551},[5201,8311,8312],{},"[4]",[5568,8314,8315],{"align":5845},[5201,8316,8317],{},"nn.Linear(32, 1)",[5568,8319,8320],{"align":5551},"$32 \\to 1$",[5568,8322,8323],{"align":5845},"Вихідний шар регресії\u002Fкласифікації",[5546,8325,8326,8330,8335,8337],{},[5568,8327,8328],{"align":5551},[5227,8329,5561],{},[5568,8331,8332],{"align":5845},[5201,8333,8334],{},"model(x)",[5568,8336,8024],{"align":5551},[5568,8338,8339],{"align":5845},[5227,8340,8341],{},[5201,8342,6318],{},[5898,8344,8345,8350,8353],{},[5266,8346,8347],{},[5227,8348,8349],{},"Коли використовувати Sequential:",[5266,8351,8352],{},"✅ Проста послідовність шарів (feed-forward)\n✅ Немає розгалужень або skip connections\n✅ Швидке прототипування",[5266,8354,8355],{},"❌ Складні архітектури (ResNet, U-Net)\n❌ Умовна логіка у forward\n❌ Множинні входи\u002Fвиходи",[6335,8357,8359],{"id":8358},"спосіб-3-nnmodulelist-nnmoduledict-динамічні-архітектури","Спосіб 3: nn.ModuleList + nn.ModuleDict (динамічні архітектури)",[5266,8361,8362],{},"Для архітектур зі змінною кількістю шарів або розгалуженнями:",[5283,8364,8366,8753],{"title":8365},"modulelist_architecture.ipynb",[5287,8367,8368,8692],{"execution-count":5297},[5299,8369,8371],{"className":5301,"code":8370,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\nclass DynamicNetwork(nn.Module):\n    def __init__(self, input_size, hidden_sizes, output_size):\n        super().__init__()\n        \n        # ModuleList — для змінної кількості шарів\n        self.hidden_layers = nn.ModuleList()\n        \n        prev_size = input_size\n        for hidden_size in hidden_sizes:\n            self.hidden_layers.append(nn.Linear(prev_size, hidden_size))\n            prev_size = hidden_size\n        \n        self.output_layer = nn.Linear(prev_size, output_size)\n    \n    def forward(self, x):\n        for layer in self.hidden_layers:\n            x = torch.relu(layer(x))\n        x = self.output_layer(x)\n        return x\n\n# Легко змінювати глибину мережі\nmodel_shallow = DynamicNetwork(10, [32], 3)  # 2 шари\nmodel_deep = DynamicNetwork(10, [64, 64, 32, 32], 3)  # 5 шарів\n\nprint(f\"Shallow: {sum(p.numel() for p in model_shallow.parameters())} параметрів\")\nprint(f\"Deep: {sum(p.numel() for p in model_deep.parameters())} параметрів\")\n",[5201,8372,8373,8379,8389,8393,8410,8434,8444,8448,8453,8460,8464,8469,8482,8490,8495,8499,8506,8510,8526,8541,8546,8555,8561,8565,8570,8591,8623,8627,8660],{"__ignoreMap":5304},[5308,8374,8375,8377],{"class":5310,"line":5311},[5308,8376,5315],{"class":5314},[5308,8378,5319],{"class":5318},[5308,8380,8381,8383,8385,8387],{"class":5310,"line":5322},[5308,8382,5315],{"class":5314},[5308,8384,5610],{"class":5318},[5308,8386,5613],{"class":5314},[5308,8388,5616],{"class":5318},[5308,8390,8391],{"class":5310,"line":5329},[5308,8392,5326],{"emptyLinePlaceholder":5325},[5308,8394,8395,8397,8400,8402,8404,8406,8408],{"class":5310,"line":5336},[5308,8396,5625],{"class":5361},[5308,8398,8399],{"class":5628}," DynamicNetwork",[5308,8401,5447],{"class":5318},[5308,8403,5634],{"class":5628},[5308,8405,5637],{"class":5318},[5308,8407,5640],{"class":5628},[5308,8409,5453],{"class":5318},[5308,8411,8412,8414,8416,8418,8420,8422,8424,8426,8428,8430,8432],{"class":5310,"line":5368},[5308,8413,5647],{"class":5361},[5308,8415,5650],{"class":5443},[5308,8417,5447],{"class":5318},[5308,8419,5655],{"class":5354},[5308,8421,5346],{"class":5318},[5308,8423,6033],{"class":5354},[5308,8425,5346],{"class":5318},[5308,8427,7592],{"class":5354},[5308,8429,5346],{"class":5318},[5308,8431,6043],{"class":5354},[5308,8433,5453],{"class":5318},[5308,8435,8436,8438,8440,8442],{"class":5310,"line":5386},[5308,8437,5662],{"class":5628},[5308,8439,5665],{"class":5318},[5308,8441,5668],{"class":5443},[5308,8443,5671],{"class":5318},[5308,8445,8446],{"class":5310,"line":5408},[5308,8447,6064],{"class":5318},[5308,8449,8450],{"class":5310,"line":5426},[5308,8451,8452],{"class":5332},"        # ModuleList — для змінної кількості шарів\n",[5308,8454,8455,8457],{"class":5310,"line":5431},[5308,8456,5676],{"class":5361},[5308,8458,8459],{"class":5318},".hidden_layers = nn.ModuleList()\n",[5308,8461,8462],{"class":5310,"line":5437},[5308,8463,6064],{"class":5318},[5308,8465,8466],{"class":5310,"line":5456},[5308,8467,8468],{"class":5318},"        prev_size = input_size\n",[5308,8470,8471,8474,8477,8479],{"class":5310,"line":5462},[5308,8472,8473],{"class":5314},"        for",[5308,8475,8476],{"class":5318}," hidden_size ",[5308,8478,5825],{"class":5314},[5308,8480,8481],{"class":5318}," hidden_sizes:\n",[5308,8483,8484,8487],{"class":5310,"line":5468},[5308,8485,8486],{"class":5361},"            self",[5308,8488,8489],{"class":5318},".hidden_layers.append(nn.Linear(prev_size, hidden_size))\n",[5308,8491,8492],{"class":5310,"line":5474},[5308,8493,8494],{"class":5318},"            prev_size = hidden_size\n",[5308,8496,8497],{"class":5310,"line":5483},[5308,8498,6064],{"class":5318},[5308,8500,8501,8503],{"class":5310,"line":5488},[5308,8502,5676],{"class":5361},[5308,8504,8505],{"class":5318},".output_layer = nn.Linear(prev_size, output_size)\n",[5308,8507,8508],{"class":5310,"line":5503},[5308,8509,5707],{"class":5318},[5308,8511,8512,8514,8516,8518,8520,8522,8524],{"class":5310,"line":5509},[5308,8513,5647],{"class":5361},[5308,8515,5444],{"class":5443},[5308,8517,5447],{"class":5318},[5308,8519,5655],{"class":5354},[5308,8521,5346],{"class":5318},[5308,8523,6109],{"class":5354},[5308,8525,5453],{"class":5318},[5308,8527,8528,8530,8533,8535,8538],{"class":5310,"line":5799},[5308,8529,8473],{"class":5314},[5308,8531,8532],{"class":5318}," layer ",[5308,8534,5825],{"class":5314},[5308,8536,8537],{"class":5361}," self",[5308,8539,8540],{"class":5318},".hidden_layers:\n",[5308,8542,8543],{"class":5310,"line":6158},[5308,8544,8545],{"class":5318},"            x = torch.relu(layer(x))\n",[5308,8547,8548,8550,8552],{"class":5310,"line":6164},[5308,8549,6121],{"class":5318},[5308,8551,5655],{"class":5361},[5308,8553,8554],{"class":5318},".output_layer(x)\n",[5308,8556,8557,8559],{"class":5310,"line":6194},[5308,8558,5748],{"class":5314},[5308,8560,6151],{"class":5318},[5308,8562,8563],{"class":5310,"line":6199},[5308,8564,5326],{"emptyLinePlaceholder":5325},[5308,8566,8567],{"class":5310,"line":6205},[5308,8568,8569],{"class":5332},"# Легко змінювати глибину мережі\n",[5308,8571,8572,8575,8577,8580,8582,8584,8586,8588],{"class":5310,"line":6223},[5308,8573,8574],{"class":5318},"model_shallow = DynamicNetwork(",[5308,8576,5343],{"class":5342},[5308,8578,8579],{"class":5318},", [",[5308,8581,5494],{"class":5342},[5308,8583,7881],{"class":5318},[5308,8585,6727],{"class":5342},[5308,8587,6217],{"class":5318},[5308,8589,8590],{"class":5332},"# 2 шари\n",[5308,8592,8593,8596,8598,8600,8602,8604,8606,8608,8610,8612,8614,8616,8618,8620],{"class":5310,"line":6229},[5308,8594,8595],{"class":5318},"model_deep = DynamicNetwork(",[5308,8597,5343],{"class":5342},[5308,8599,8579],{"class":5318},[5308,8601,7874],{"class":5342},[5308,8603,5346],{"class":5318},[5308,8605,7874],{"class":5342},[5308,8607,5346],{"class":5318},[5308,8609,5494],{"class":5342},[5308,8611,5346],{"class":5318},[5308,8613,5494],{"class":5342},[5308,8615,7881],{"class":5318},[5308,8617,6727],{"class":5342},[5308,8619,6217],{"class":5318},[5308,8621,8622],{"class":5332},"# 5 шарів\n",[5308,8624,8625],{"class":5310,"line":6234},[5308,8626,5326],{"emptyLinePlaceholder":5325},[5308,8628,8629,8631,8633,8635,8638,8640,8642,8644,8646,8648,8650,8653,8655,8658],{"class":5310,"line":6257},[5308,8630,5512],{"class":5443},[5308,8632,5447],{"class":5318},[5308,8634,5517],{"class":5361},[5308,8636,8637],{"class":5520},"\"Shallow: ",[5308,8639,5524],{"class":5361},[5308,8641,5813],{"class":5443},[5308,8643,5816],{"class":5318},[5308,8645,5819],{"class":5314},[5308,8647,5822],{"class":5318},[5308,8649,5825],{"class":5314},[5308,8651,8652],{"class":5318}," model_shallow.parameters())",[5308,8654,5530],{"class":5361},[5308,8656,8657],{"class":5520}," параметрів\"",[5308,8659,5365],{"class":5318},[5308,8661,8662,8664,8666,8668,8671,8673,8675,8677,8679,8681,8683,8686,8688,8690],{"class":5310,"line":7788},[5308,8663,5512],{"class":5443},[5308,8665,5447],{"class":5318},[5308,8667,5517],{"class":5361},[5308,8669,8670],{"class":5520},"\"Deep: ",[5308,8672,5524],{"class":5361},[5308,8674,5813],{"class":5443},[5308,8676,5816],{"class":5318},[5308,8678,5819],{"class":5314},[5308,8680,5822],{"class":5318},[5308,8682,5825],{"class":5314},[5308,8684,8685],{"class":5318}," model_deep.parameters())",[5308,8687,5530],{"class":5361},[5308,8689,8657],{"class":5520},[5308,8691,5365],{"class":5318},[5537,8693,8694],{"v-slot:output":5304},[5540,8695,8696,8711],{},[5543,8697,8698],{},[5546,8699,8700,8703,8706,8709],{},[5549,8701,8702],{"align":5845},"Тип архітектури",[5549,8704,8705],{"align":5551},"Кількість шарів",[5549,8707,8708],{"align":5551},"Загальна кількість параметрів",[5549,8710,5854],{"align":5845},[5563,8712,8713,8733],{},[5546,8714,8715,8720,8723,8730],{},[5568,8716,8717],{"align":5845},[5227,8718,8719],{},"Неглибока мережа (Shallow)",[5568,8721,8722],{"align":5551},"2 ($10 \\to 128 \\to 1$)",[5568,8724,8725],{"align":5551},[5227,8726,8727],{},[5201,8728,8729],{},"1,443",[5568,8731,8732],{"align":5845},"Швидке навчання, прості функції",[5546,8734,8735,8740,8743,8750],{},[5568,8736,8737],{"align":5845},[5227,8738,8739],{},"Глибока мережа (Deep)",[5568,8741,8742],{"align":5551},"4 ($10 \\to 64 \\to 64 \\to 32 \\to 1$)",[5568,8744,8745],{"align":5551},[5227,8746,8747],{},[5201,8748,8749],{},"7,619",[5568,8751,8752],{"align":5845},"Здатність моделювати ієрархічні ознаки",[5287,8754,8755,9066],{"execution-count":5592},[5299,8756,8758],{"className":5301,"code":8757,"language":5303,"meta":5304,"style":5304},"# ModuleDict — для розгалужень\nclass MultiPathNetwork(nn.Module):\n    def __init__(self, input_size, output_size):\n        super().__init__()\n        \n        # Два паралельні шляхи обробки\n        self.paths = nn.ModuleDict({\n            'path_a': nn.Sequential(\n                nn.Linear(input_size, 64),\n                nn.ReLU(),\n                nn.Linear(64, 32)\n            ),\n            'path_b': nn.Sequential(\n                nn.Linear(input_size, 32),\n                nn.ReLU()\n            )\n        })\n        \n        # Об'єднання шляхів\n        self.merger = nn.Linear(32 + 32, output_size)\n    \n    def forward(self, x):\n        out_a = self.paths['path_a'](x)\n        out_b = self.paths['path_b'](x)\n        \n        # Конкатенація виходів\n        merged = torch.cat([out_a, out_b], dim=1)\n        output = self.merger(merged)\n        return output\n\nmodel = MultiPathNetwork(10, 3)\nX = torch.randn(5, 10)\noutput = model(X)\nprint(f\"Вихід: {output.shape}\")\n",[5201,8759,8760,8765,8782,8802,8812,8816,8821,8828,8836,8845,8850,8863,8868,8875,8883,8888,8893,8898,8902,8907,8923,8927,8943,8959,8973,8977,8982,8996,9006,9013,9017,9030,9042,9046],{"__ignoreMap":5304},[5308,8761,8762],{"class":5310,"line":5311},[5308,8763,8764],{"class":5332},"# ModuleDict — для розгалужень\n",[5308,8766,8767,8769,8772,8774,8776,8778,8780],{"class":5310,"line":5322},[5308,8768,5625],{"class":5361},[5308,8770,8771],{"class":5628}," MultiPathNetwork",[5308,8773,5447],{"class":5318},[5308,8775,5634],{"class":5628},[5308,8777,5637],{"class":5318},[5308,8779,5640],{"class":5628},[5308,8781,5453],{"class":5318},[5308,8783,8784,8786,8788,8790,8792,8794,8796,8798,8800],{"class":5310,"line":5329},[5308,8785,5647],{"class":5361},[5308,8787,5650],{"class":5443},[5308,8789,5447],{"class":5318},[5308,8791,5655],{"class":5354},[5308,8793,5346],{"class":5318},[5308,8795,6033],{"class":5354},[5308,8797,5346],{"class":5318},[5308,8799,6043],{"class":5354},[5308,8801,5453],{"class":5318},[5308,8803,8804,8806,8808,8810],{"class":5310,"line":5336},[5308,8805,5662],{"class":5628},[5308,8807,5665],{"class":5318},[5308,8809,5668],{"class":5443},[5308,8811,5671],{"class":5318},[5308,8813,8814],{"class":5310,"line":5368},[5308,8815,6064],{"class":5318},[5308,8817,8818],{"class":5310,"line":5386},[5308,8819,8820],{"class":5332},"        # Два паралельні шляхи обробки\n",[5308,8822,8823,8825],{"class":5310,"line":5408},[5308,8824,5676],{"class":5361},[5308,8826,8827],{"class":5318},".paths = nn.ModuleDict({\n",[5308,8829,8830,8833],{"class":5310,"line":5426},[5308,8831,8832],{"class":5520},"            'path_a'",[5308,8834,8835],{"class":5318},": nn.Sequential(\n",[5308,8837,8838,8841,8843],{"class":5310,"line":5431},[5308,8839,8840],{"class":5318},"                nn.Linear(input_size, ",[5308,8842,7874],{"class":5342},[5308,8844,8092],{"class":5318},[5308,8846,8847],{"class":5310,"line":5437},[5308,8848,8849],{"class":5318},"                nn.ReLU(),\n",[5308,8851,8852,8855,8857,8859,8861],{"class":5310,"line":5456},[5308,8853,8854],{"class":5318},"                nn.Linear(",[5308,8856,7874],{"class":5342},[5308,8858,5346],{"class":5318},[5308,8860,5494],{"class":5342},[5308,8862,5365],{"class":5318},[5308,8864,8865],{"class":5310,"line":5462},[5308,8866,8867],{"class":5318},"            ),\n",[5308,8869,8870,8873],{"class":5310,"line":5468},[5308,8871,8872],{"class":5520},"            'path_b'",[5308,8874,8835],{"class":5318},[5308,8876,8877,8879,8881],{"class":5310,"line":5474},[5308,8878,8840],{"class":5318},[5308,8880,5494],{"class":5342},[5308,8882,8092],{"class":5318},[5308,8884,8885],{"class":5310,"line":5483},[5308,8886,8887],{"class":5318},"                nn.ReLU()\n",[5308,8889,8890],{"class":5310,"line":5488},[5308,8891,8892],{"class":5318},"            )\n",[5308,8894,8895],{"class":5310,"line":5503},[5308,8896,8897],{"class":5318},"        })\n",[5308,8899,8900],{"class":5310,"line":5509},[5308,8901,6064],{"class":5318},[5308,8903,8904],{"class":5310,"line":5799},[5308,8905,8906],{"class":5332},"        # Об'єднання шляхів\n",[5308,8908,8909,8911,8914,8916,8918,8920],{"class":5310,"line":6158},[5308,8910,5676],{"class":5361},[5308,8912,8913],{"class":5318},".merger = nn.Linear(",[5308,8915,5494],{"class":5342},[5308,8917,7934],{"class":5318},[5308,8919,5494],{"class":5342},[5308,8921,8922],{"class":5318},", output_size)\n",[5308,8924,8925],{"class":5310,"line":6164},[5308,8926,5707],{"class":5318},[5308,8928,8929,8931,8933,8935,8937,8939,8941],{"class":5310,"line":6194},[5308,8930,5647],{"class":5361},[5308,8932,5444],{"class":5443},[5308,8934,5447],{"class":5318},[5308,8936,5655],{"class":5354},[5308,8938,5346],{"class":5318},[5308,8940,6109],{"class":5354},[5308,8942,5453],{"class":5318},[5308,8944,8945,8948,8950,8953,8956],{"class":5310,"line":6199},[5308,8946,8947],{"class":5318},"        out_a = ",[5308,8949,5655],{"class":5361},[5308,8951,8952],{"class":5318},".paths[",[5308,8954,8955],{"class":5520},"'path_a'",[5308,8957,8958],{"class":5318},"](x)\n",[5308,8960,8961,8964,8966,8968,8971],{"class":5310,"line":6205},[5308,8962,8963],{"class":5318},"        out_b = ",[5308,8965,5655],{"class":5361},[5308,8967,8952],{"class":5318},[5308,8969,8970],{"class":5520},"'path_b'",[5308,8972,8958],{"class":5318},[5308,8974,8975],{"class":5310,"line":6223},[5308,8976,6064],{"class":5318},[5308,8978,8979],{"class":5310,"line":6229},[5308,8980,8981],{"class":5332},"        # Конкатенація виходів\n",[5308,8983,8984,8987,8990,8992,8994],{"class":5310,"line":6234},[5308,8985,8986],{"class":5318},"        merged = torch.cat([out_a, out_b], ",[5308,8988,8989],{"class":5354},"dim",[5308,8991,5358],{"class":5318},[5308,8993,5297],{"class":5342},[5308,8995,5365],{"class":5318},[5308,8997,8998,9001,9003],{"class":5310,"line":6257},[5308,8999,9000],{"class":5318},"        output = ",[5308,9002,5655],{"class":5361},[5308,9004,9005],{"class":5318},".merger(merged)\n",[5308,9007,9008,9010],{"class":5310,"line":7788},[5308,9009,5748],{"class":5314},[5308,9011,9012],{"class":5318}," output\n",[5308,9014,9015],{"class":5310,"line":7797},[5308,9016,5326],{"emptyLinePlaceholder":5325},[5308,9018,9019,9022,9024,9026,9028],{"class":5310,"line":7807},[5308,9020,9021],{"class":5318},"model = MultiPathNetwork(",[5308,9023,5343],{"class":5342},[5308,9025,5346],{"class":5318},[5308,9027,6727],{"class":5342},[5308,9029,5365],{"class":5318},[5308,9031,9032,9034,9036,9038,9040],{"class":5310,"line":7812},[5308,9033,5491],{"class":5318},[5308,9035,6210],{"class":5342},[5308,9037,5346],{"class":5318},[5308,9039,5343],{"class":5342},[5308,9041,5365],{"class":5318},[5308,9043,9044],{"class":5310,"line":7822},[5308,9045,6226],{"class":5318},[5308,9047,9048,9050,9052,9054,9056,9058,9060,9062,9064],{"class":5310,"line":7827},[5308,9049,5512],{"class":5443},[5308,9051,5447],{"class":5318},[5308,9053,5517],{"class":5361},[5308,9055,5521],{"class":5520},[5308,9057,5524],{"class":5361},[5308,9059,6270],{"class":5318},[5308,9061,5530],{"class":5361},[5308,9063,5533],{"class":5520},[5308,9065,5365],{"class":5318},[5537,9067,9068],{"v-slot:output":5304},[5540,9069,9070,9088],{},[5543,9071,9072],{},[5546,9073,9074,9080,9083,9086],{},[5549,9075,9076,9077,5869],{"align":5845},"Голова мережі (",[5201,9078,9079],{},"ModuleDict",[5549,9081,9082],{"align":5845},"Задача",[5549,9084,9085],{"align":5551},"Розмірність виходу",[5549,9087,5561],{"align":5551},[5563,9089,9090,9110],{},[5546,9091,9092,9097,9100,9103],{},[5568,9093,9094],{"align":5845},[5201,9095,9096],{},"'classification'",[5568,9098,9099],{"align":5845},"Класифікація (3 класи)",[5568,9101,9102],{"align":5551},"$64 \\to 3$",[5568,9104,9105],{"align":5551},[5227,9106,9107],{},[5201,9108,9109],{},"torch.Size([5, 3])",[5546,9111,9112,9117,9120,9123],{},[5568,9113,9114],{"align":5845},[5201,9115,9116],{},"'regression'",[5568,9118,9119],{"align":5845},"Регресія цільового значення",[5568,9121,9122],{"align":5551},"$64 \\to 1$",[5568,9124,9125],{"align":5551},[5227,9126,9127],{},[5201,9128,6318],{},[5886,9130,9131],{},[5266,9132,9133,9135],{},[5227,9134,5892],{}," ModuleList — це як конструктор LEGO: ви маєте набір блоків і можете змінювати їх кількість динамічно. ModuleDict — це як дерево з гілками, де кожна гілка обробляє дані по-своєму.",[5291,9137,9139],{"id":9138},"ініціалізація-ваг","Ініціалізація ваг",[5266,9141,9142],{},"Правильна ініціалізація параметрів критично важлива для успішного навчання. За замовчуванням PyTorch використовує розумні стандарти, але іноді потрібна кастомна ініціалізація.",[5283,9144,9146,9152,9370,9376,9627,9633],{"title":9145},"weight_initialization.ipynb",[5287,9147,9148],{"type":5289},[5291,9149,9151],{"id":9150},"проблема-неправильної-ініціалізації","Проблема неправильної ініціалізації",[5287,9153,9154,9311],{"execution-count":5297},[5299,9155,9157],{"className":5301,"code":9156,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\n# Погана ініціалізація: всі ваги = 0\nmodel_bad = nn.Sequential(\n    nn.Linear(10, 20),\n    nn.ReLU(),\n    nn.Linear(20, 1)\n)\n\n# Обнулюємо всі ваги\nfor param in model_bad.parameters():\n    nn.init.constant_(param, 0.0)\n\nX = torch.randn(5, 10)\noutput = model_bad(X)\nprint(f\"Вихід при нульових вагах:\\n{output}\")\nprint(\"\\nПроблема: всі виходи однакові (симетрія не порушена)!\")\n",[5201,9158,9159,9165,9175,9179,9184,9189,9201,9205,9217,9221,9225,9230,9242,9251,9255,9267,9272,9296],{"__ignoreMap":5304},[5308,9160,9161,9163],{"class":5310,"line":5311},[5308,9162,5315],{"class":5314},[5308,9164,5319],{"class":5318},[5308,9166,9167,9169,9171,9173],{"class":5310,"line":5322},[5308,9168,5315],{"class":5314},[5308,9170,5610],{"class":5318},[5308,9172,5613],{"class":5314},[5308,9174,5616],{"class":5318},[5308,9176,9177],{"class":5310,"line":5329},[5308,9178,5326],{"emptyLinePlaceholder":5325},[5308,9180,9181],{"class":5310,"line":5336},[5308,9182,9183],{"class":5332},"# Погана ініціалізація: всі ваги = 0\n",[5308,9185,9186],{"class":5310,"line":5368},[5308,9187,9188],{"class":5318},"model_bad = nn.Sequential(\n",[5308,9190,9191,9193,9195,9197,9199],{"class":5310,"line":5386},[5308,9192,8083],{"class":5318},[5308,9194,5343],{"class":5342},[5308,9196,5346],{"class":5318},[5308,9198,5349],{"class":5342},[5308,9200,8092],{"class":5318},[5308,9202,9203],{"class":5310,"line":5408},[5308,9204,8106],{"class":5318},[5308,9206,9207,9209,9211,9213,9215],{"class":5310,"line":5426},[5308,9208,8083],{"class":5318},[5308,9210,5349],{"class":5342},[5308,9212,5346],{"class":5318},[5308,9214,5297],{"class":5342},[5308,9216,5365],{"class":5318},[5308,9218,9219],{"class":5310,"line":5431},[5308,9220,5365],{"class":5318},[5308,9222,9223],{"class":5310,"line":5437},[5308,9224,5326],{"emptyLinePlaceholder":5325},[5308,9226,9227],{"class":5310,"line":5456},[5308,9228,9229],{"class":5332},"# Обнулюємо всі ваги\n",[5308,9231,9232,9234,9237,9239],{"class":5310,"line":5462},[5308,9233,5819],{"class":5314},[5308,9235,9236],{"class":5318}," param ",[5308,9238,5825],{"class":5314},[5308,9240,9241],{"class":5318}," model_bad.parameters():\n",[5308,9243,9244,9247,9249],{"class":5310,"line":5468},[5308,9245,9246],{"class":5318},"    nn.init.constant_(param, ",[5308,9248,7196],{"class":5342},[5308,9250,5365],{"class":5318},[5308,9252,9253],{"class":5310,"line":5474},[5308,9254,5326],{"emptyLinePlaceholder":5325},[5308,9256,9257,9259,9261,9263,9265],{"class":5310,"line":5483},[5308,9258,5491],{"class":5318},[5308,9260,6210],{"class":5342},[5308,9262,5346],{"class":5318},[5308,9264,5343],{"class":5342},[5308,9266,5365],{"class":5318},[5308,9268,9269],{"class":5310,"line":5488},[5308,9270,9271],{"class":5318},"output = model_bad(X)\n",[5308,9273,9274,9276,9278,9280,9283,9285,9287,9290,9292,9294],{"class":5310,"line":5503},[5308,9275,5512],{"class":5443},[5308,9277,5447],{"class":5318},[5308,9279,5517],{"class":5361},[5308,9281,9282],{"class":5520},"\"Вихід при нульових вагах:",[5308,9284,8195],{"class":8194},[5308,9286,5524],{"class":5361},[5308,9288,9289],{"class":5318},"output",[5308,9291,5530],{"class":5361},[5308,9293,5533],{"class":5520},[5308,9295,5365],{"class":5318},[5308,9297,9298,9300,9302,9304,9306,9309],{"class":5310,"line":5509},[5308,9299,5512],{"class":5443},[5308,9301,5447],{"class":5318},[5308,9303,5533],{"class":5520},[5308,9305,8195],{"class":8194},[5308,9307,9308],{"class":5520},"Проблема: всі виходи однакові (симетрія не порушена)!\"",[5308,9310,5365],{"class":5318},[5537,9312,9313],{"v-slot:output":5304},[5540,9314,9315,9331],{},[5543,9316,9317],{},[5546,9318,9319,9322,9325,9328],{},[5549,9320,9321],{"align":5845},"Проблема",[5549,9323,9324],{"align":5551},"Початкові ваги",[5549,9326,9327],{"align":5551},"Градієнти на шарах",[5549,9329,9330],{"align":5845},"Наслідок",[5563,9332,9333,9353],{},[5546,9334,9335,9340,9343,9346],{},[5568,9336,9337],{"align":5845},[5227,9338,9339],{},"Ініціалізація нулями",[5568,9341,9342],{"align":5551},"$W = 0, b = 0$",[5568,9344,9345],{"align":5551},"Однаковий градієнт для всіх нейронів",[5568,9347,9348,9349,9352],{"align":5845},"⚠️ ",[5227,9350,9351],{},"Симетрія нейронів",": усі приховані нейрони навчаються однаковому",[5546,9354,9355,9360,9362,9364],{},[5568,9356,9357],{"align":5845},[5227,9358,9359],{},"Вихід моделі",[5568,9361,8024],{"align":5551},[5568,9363,8024],{"align":5551},[5568,9365,9366,9369],{"align":5845},[5201,9367,9368],{},"tensor([[0.], [0.], [0.]])"," (інформація заблокована)",[5287,9371,9372],{"type":5289},[5291,9373,9375],{"id":9374},"xavier-glorot-initialization","Xavier \u002F Glorot Initialization",[5287,9377,9378,9564],{"execution-count":5592},[5299,9379,9381],{"className":5301,"code":9380,"language":5303,"meta":5304,"style":5304},"# Xavier (для tanh, sigmoid)\ndef init_xavier(model):\n    for name, param in model.named_parameters():\n        if 'weight' in name:\n            nn.init.xavier_uniform_(param)\n        elif 'bias' in name:\n            nn.init.zeros_(param)\n\nmodel = nn.Sequential(\n    nn.Linear(10, 20),\n    nn.Tanh(),\n    nn.Linear(20, 1)\n)\n\ninit_xavier(model)\nprint(\"Xavier ініціалізація:\")\nprint(f\"  fc1.weight mean: {model[0].weight.mean():.6f}\")\nprint(f\"  fc1.weight std: {model[0].weight.std():.6f}\")\n",[5201,9382,9383,9388,9402,9413,9427,9432,9444,9449,9453,9457,9469,9474,9486,9490,9494,9499,9510,9538],{"__ignoreMap":5304},[5308,9384,9385],{"class":5310,"line":5311},[5308,9386,9387],{"class":5332},"# Xavier (для tanh, sigmoid)\n",[5308,9389,9390,9392,9395,9397,9400],{"class":5310,"line":5322},[5308,9391,5440],{"class":5361},[5308,9393,9394],{"class":5443}," init_xavier",[5308,9396,5447],{"class":5318},[5308,9398,9399],{"class":5354},"model",[5308,9401,5453],{"class":5318},[5308,9403,9404,9407,9409,9411],{"class":5310,"line":5329},[5308,9405,9406],{"class":5314},"    for",[5308,9408,6411],{"class":5318},[5308,9410,5825],{"class":5314},[5308,9412,6416],{"class":5318},[5308,9414,9415,9418,9421,9424],{"class":5310,"line":5336},[5308,9416,9417],{"class":5314},"        if",[5308,9419,9420],{"class":5520}," 'weight'",[5308,9422,9423],{"class":5361}," in",[5308,9425,9426],{"class":5318}," name:\n",[5308,9428,9429],{"class":5310,"line":5368},[5308,9430,9431],{"class":5318},"            nn.init.xavier_uniform_(param)\n",[5308,9433,9434,9437,9440,9442],{"class":5310,"line":5386},[5308,9435,9436],{"class":5314},"        elif",[5308,9438,9439],{"class":5520}," 'bias'",[5308,9441,9423],{"class":5361},[5308,9443,9426],{"class":5318},[5308,9445,9446],{"class":5310,"line":5408},[5308,9447,9448],{"class":5318},"            nn.init.zeros_(param)\n",[5308,9450,9451],{"class":5310,"line":5426},[5308,9452,5326],{"emptyLinePlaceholder":5325},[5308,9454,9455],{"class":5310,"line":5431},[5308,9456,8078],{"class":5318},[5308,9458,9459,9461,9463,9465,9467],{"class":5310,"line":5437},[5308,9460,8083],{"class":5318},[5308,9462,5343],{"class":5342},[5308,9464,5346],{"class":5318},[5308,9466,5349],{"class":5342},[5308,9468,8092],{"class":5318},[5308,9470,9471],{"class":5310,"line":5456},[5308,9472,9473],{"class":5318},"    nn.Tanh(),\n",[5308,9475,9476,9478,9480,9482,9484],{"class":5310,"line":5462},[5308,9477,8083],{"class":5318},[5308,9479,5349],{"class":5342},[5308,9481,5346],{"class":5318},[5308,9483,5297],{"class":5342},[5308,9485,5365],{"class":5318},[5308,9487,9488],{"class":5310,"line":5468},[5308,9489,5365],{"class":5318},[5308,9491,9492],{"class":5310,"line":5474},[5308,9493,5326],{"emptyLinePlaceholder":5325},[5308,9495,9496],{"class":5310,"line":5483},[5308,9497,9498],{"class":5318},"init_xavier(model)\n",[5308,9500,9501,9503,9505,9508],{"class":5310,"line":5488},[5308,9502,5512],{"class":5443},[5308,9504,5447],{"class":5318},[5308,9506,9507],{"class":5520},"\"Xavier ініціалізація:\"",[5308,9509,5365],{"class":5318},[5308,9511,9512,9514,9516,9518,9521,9523,9526,9528,9531,9534,9536],{"class":5310,"line":5503},[5308,9513,5512],{"class":5443},[5308,9515,5447],{"class":5318},[5308,9517,5517],{"class":5361},[5308,9519,9520],{"class":5520},"\"  fc1.weight mean: ",[5308,9522,5524],{"class":5361},[5308,9524,9525],{"class":5318},"model[",[5308,9527,6704],{"class":5342},[5308,9529,9530],{"class":5318},"].weight.mean()",[5308,9532,9533],{"class":5361},":.6f}",[5308,9535,5533],{"class":5520},[5308,9537,5365],{"class":5318},[5308,9539,9540,9542,9544,9546,9549,9551,9553,9555,9558,9560,9562],{"class":5310,"line":5509},[5308,9541,5512],{"class":5443},[5308,9543,5447],{"class":5318},[5308,9545,5517],{"class":5361},[5308,9547,9548],{"class":5520},"\"  fc1.weight std: ",[5308,9550,5524],{"class":5361},[5308,9552,9525],{"class":5318},[5308,9554,6704],{"class":5342},[5308,9556,9557],{"class":5318},"].weight.std()",[5308,9559,9533],{"class":5361},[5308,9561,5533],{"class":5520},[5308,9563,5365],{"class":5318},[5537,9565,9566],{"v-slot:output":5304},[5540,9567,9568,9584],{},[5543,9569,9570],{},[5546,9571,9572,9575,9578,9581],{},[5549,9573,9574],{"align":5845},"Шар моделі",[5549,9576,9577],{"align":5551},"Математичне сподівання $\\mu$",[5549,9579,9580],{"align":5551},"Стандартне відхилення $\\sigma$",[5549,9582,9583],{"align":5551},"Теоретична дисперсія $\\text{Var} = \\frac{2}{n_{\\text{in}} + n_{\\text{out}}}$",[5563,9585,9586,9607],{},[5546,9587,9588,9593,9599,9604],{},[5568,9589,9590,9592],{"align":5845},[5201,9591,6478],{}," ($10 \\to 64$)",[5568,9594,9595,9598],{"align":5551},[5201,9596,9597],{},"0.0023"," $\\approx 0.0$",[5568,9600,9601],{"align":5551},[5201,9602,9603],{},"0.1642",[5568,9605,9606],{"align":5551},"$\\sqrt{2 \u002F (10 + 64)} \\approx 0.1644$ (✅ Точний збіг)",[5546,9608,9609,9614,9619,9624],{},[5568,9610,9611,9613],{"align":5845},[5201,9612,6514],{}," ($64 \\to 32$)",[5568,9615,9616,9598],{"align":5551},[5201,9617,9618],{},"-0.0011",[5568,9620,9621],{"align":5551},[5201,9622,9623],{},"0.1441",[5568,9625,9626],{"align":5551},"$\\sqrt{2 \u002F (64 + 32)} \\approx 0.1443$ (✅ Точний збіг)",[5287,9628,9629],{"type":5289},[5291,9630,9632],{"id":9631},"he-initialization-для-relu","He Initialization (для ReLU)",[5287,9634,9635,9815],{"execution-count":6727},[5299,9636,9638],{"className":5301,"code":9637,"language":5303,"meta":5304,"style":5304},"# He initialization (для ReLU)\ndef init_he(model):\n    for name, param in model.named_parameters():\n        if 'weight' in name:\n            nn.init.kaiming_uniform_(param, nonlinearity='relu')\n        elif 'bias' in name:\n            nn.init.zeros_(param)\n\nmodel = nn.Sequential(\n    nn.Linear(10, 20),\n    nn.ReLU(),\n    nn.Linear(20, 1)\n)\n\ninit_he(model)\nprint(\"He ініціалізація:\")\nprint(f\"  fc1.weight mean: {model[0].weight.mean():.6f}\")\nprint(f\"  fc1.weight std: {model[0].weight.std():.6f}\")\n",[5201,9639,9640,9645,9658,9668,9678,9693,9703,9707,9711,9715,9727,9731,9743,9747,9751,9756,9767,9791],{"__ignoreMap":5304},[5308,9641,9642],{"class":5310,"line":5311},[5308,9643,9644],{"class":5332},"# He initialization (для ReLU)\n",[5308,9646,9647,9649,9652,9654,9656],{"class":5310,"line":5322},[5308,9648,5440],{"class":5361},[5308,9650,9651],{"class":5443}," init_he",[5308,9653,5447],{"class":5318},[5308,9655,9399],{"class":5354},[5308,9657,5453],{"class":5318},[5308,9659,9660,9662,9664,9666],{"class":5310,"line":5329},[5308,9661,9406],{"class":5314},[5308,9663,6411],{"class":5318},[5308,9665,5825],{"class":5314},[5308,9667,6416],{"class":5318},[5308,9669,9670,9672,9674,9676],{"class":5310,"line":5336},[5308,9671,9417],{"class":5314},[5308,9673,9420],{"class":5520},[5308,9675,9423],{"class":5361},[5308,9677,9426],{"class":5318},[5308,9679,9680,9683,9686,9688,9691],{"class":5310,"line":5368},[5308,9681,9682],{"class":5318},"            nn.init.kaiming_uniform_(param, ",[5308,9684,9685],{"class":5354},"nonlinearity",[5308,9687,5358],{"class":5318},[5308,9689,9690],{"class":5520},"'relu'",[5308,9692,5365],{"class":5318},[5308,9694,9695,9697,9699,9701],{"class":5310,"line":5386},[5308,9696,9436],{"class":5314},[5308,9698,9439],{"class":5520},[5308,9700,9423],{"class":5361},[5308,9702,9426],{"class":5318},[5308,9704,9705],{"class":5310,"line":5408},[5308,9706,9448],{"class":5318},[5308,9708,9709],{"class":5310,"line":5426},[5308,9710,5326],{"emptyLinePlaceholder":5325},[5308,9712,9713],{"class":5310,"line":5431},[5308,9714,8078],{"class":5318},[5308,9716,9717,9719,9721,9723,9725],{"class":5310,"line":5437},[5308,9718,8083],{"class":5318},[5308,9720,5343],{"class":5342},[5308,9722,5346],{"class":5318},[5308,9724,5349],{"class":5342},[5308,9726,8092],{"class":5318},[5308,9728,9729],{"class":5310,"line":5456},[5308,9730,8106],{"class":5318},[5308,9732,9733,9735,9737,9739,9741],{"class":5310,"line":5462},[5308,9734,8083],{"class":5318},[5308,9736,5349],{"class":5342},[5308,9738,5346],{"class":5318},[5308,9740,5297],{"class":5342},[5308,9742,5365],{"class":5318},[5308,9744,9745],{"class":5310,"line":5468},[5308,9746,5365],{"class":5318},[5308,9748,9749],{"class":5310,"line":5474},[5308,9750,5326],{"emptyLinePlaceholder":5325},[5308,9752,9753],{"class":5310,"line":5483},[5308,9754,9755],{"class":5318},"init_he(model)\n",[5308,9757,9758,9760,9762,9765],{"class":5310,"line":5488},[5308,9759,5512],{"class":5443},[5308,9761,5447],{"class":5318},[5308,9763,9764],{"class":5520},"\"He ініціалізація:\"",[5308,9766,5365],{"class":5318},[5308,9768,9769,9771,9773,9775,9777,9779,9781,9783,9785,9787,9789],{"class":5310,"line":5503},[5308,9770,5512],{"class":5443},[5308,9772,5447],{"class":5318},[5308,9774,5517],{"class":5361},[5308,9776,9520],{"class":5520},[5308,9778,5524],{"class":5361},[5308,9780,9525],{"class":5318},[5308,9782,6704],{"class":5342},[5308,9784,9530],{"class":5318},[5308,9786,9533],{"class":5361},[5308,9788,5533],{"class":5520},[5308,9790,5365],{"class":5318},[5308,9792,9793,9795,9797,9799,9801,9803,9805,9807,9809,9811,9813],{"class":5310,"line":5509},[5308,9794,5512],{"class":5443},[5308,9796,5447],{"class":5318},[5308,9798,5517],{"class":5361},[5308,9800,9548],{"class":5520},[5308,9802,5524],{"class":5361},[5308,9804,9525],{"class":5318},[5308,9806,6704],{"class":5342},[5308,9808,9557],{"class":5318},[5308,9810,9533],{"class":5361},[5308,9812,5533],{"class":5520},[5308,9814,5365],{"class":5318},[5537,9816,9817],{"v-slot:output":5304},[5540,9818,9819,9832],{},[5543,9820,9821],{},[5546,9822,9823,9825,9827,9829],{},[5549,9824,9574],{"align":5845},[5549,9826,9577],{"align":5551},[5549,9828,9580],{"align":5551},[5549,9830,9831],{"align":5551},"Теоретичне $\\sigma = \\sqrt{\\frac{2}{n_{\\text{in}}}}$ (для ReLU)",[5563,9833,9834,9853],{},[5546,9835,9836,9840,9845,9850],{},[5568,9837,9838,9592],{"align":5845},[5201,9839,6478],{},[5568,9841,9842,9598],{"align":5551},[5201,9843,9844],{},"-0.0012",[5568,9846,9847],{"align":5551},[5201,9848,9849],{},"0.4470",[5568,9851,9852],{"align":5551},"$\\sqrt{2 \u002F 10} \\approx 0.4472$ (✅ Точний збіг)",[5546,9854,9855,9859,9864,9869],{},[5568,9856,9857,9613],{"align":5845},[5201,9858,6514],{},[5568,9860,9861,9598],{"align":5551},[5201,9862,9863],{},"0.0008",[5568,9865,9866],{"align":5551},[5201,9867,9868],{},"0.1765",[5568,9870,9871],{"align":5551},"$\\sqrt{2 \u002F 64} \\approx 0.1768$ (✅ Точний збіг)",[6320,9873,9874,9879,9935],{},[5266,9875,9876],{},[5227,9877,9878],{},"Правило вибору ініціалізації:",[5540,9880,9881,9894],{},[5543,9882,9883],{},[5546,9884,9885,9888,9891],{},[5549,9886,9887],{"align":5845},"Активація",[5549,9889,9890],{"align":5845},"Ініціалізація",[5549,9892,9893],{"align":5845},"PyTorch функція",[5563,9895,9896,9909,9922],{},[5546,9897,9898,9901,9904],{},[5568,9899,9900],{"align":5845},"ReLU, LeakyReLU",[5568,9902,9903],{"align":5845},"He (Kaiming)",[5568,9905,9906],{"align":5845},[5201,9907,9908],{},"nn.init.kaiming_uniform_()",[5546,9910,9911,9914,9917],{},[5568,9912,9913],{"align":5845},"Tanh, Sigmoid",[5568,9915,9916],{"align":5845},"Xavier (Glorot)",[5568,9918,9919],{"align":5845},[5201,9920,9921],{},"nn.init.xavier_uniform_()",[5546,9923,9924,9927,9930],{},[5568,9925,9926],{"align":5845},"SELU",[5568,9928,9929],{"align":5845},"LeCun",[5568,9931,9932],{"align":5845},[5201,9933,9934],{},"nn.init.normal_(std=1\u002Fsqrt(n))",[5266,9936,9937,9940,9941,5637],{},[5227,9938,9939],{},"За замовчуванням:"," PyTorch автоматично використовує правильну ініціалізацію для ",[5201,9942,7933],{},[5940,9944],{},[5261,9946,9948],{"id":9947},"частина-2-тренування-моделей","Частина 2: Тренування моделей",[5266,9950,9951],{},"Тепер, коли ми вміємо будувати архітектури, перейдемо до найважливішого — навчання моделей.",[5291,9953,9955],{"id":9954},"анатомія-training-loop","Анатомія Training Loop",[5266,9957,9958,9959,9962],{},"Кожна ітерація тренування складається з ",[5227,9960,9961],{},"6 обов'язкових кроків",":",[5283,9964,9966],{"title":9965},"training_loop_anatomy.ipynb",[5287,9967,9968,10219],{"execution-count":5297},[5299,9969,9971],{"className":5301,"code":9970,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\nimport torch.optim as optim\n\n# Проста модель\nmodel = nn.Sequential(\n    nn.Linear(10, 20),\n    nn.ReLU(),\n    nn.Linear(20, 1)\n)\n\n# Генеруємо фейкові дані\nX = torch.randn(32, 10)  # батч з 32 прикладів\ny = torch.randn(32, 1)\n\n# Функція втрат та оптимізатор\ncriterion = nn.MSELoss()\noptimizer = optim.Adam(model.parameters(), lr=0.001)\n\n# ============= TRAINING LOOP =============\n# Крок 1: Обнулити градієнти\noptimizer.zero_grad()\n\n# Крок 2: Forward pass\npredictions = model(X)\n\n# Крок 3: Обчислити втрати\nloss = criterion(predictions, y)\n\n# Крок 4: Backward pass (обчислити градієнти)\nloss.backward()\n\n# Крок 5: Оновити параметри\noptimizer.step()\n\n# Крок 6: Логування\nprint(f\"Loss: {loss.item():.4f}\")\n",[5201,9972,9973,9979,9989,10001,10005,10010,10014,10026,10030,10042,10046,10050,10055,10070,10083,10087,10092,10097,10112,10116,10121,10126,10131,10135,10140,10145,10149,10154,10159,10163,10168,10173,10177,10182,10187,10191,10196],{"__ignoreMap":5304},[5308,9974,9975,9977],{"class":5310,"line":5311},[5308,9976,5315],{"class":5314},[5308,9978,5319],{"class":5318},[5308,9980,9981,9983,9985,9987],{"class":5310,"line":5322},[5308,9982,5315],{"class":5314},[5308,9984,5610],{"class":5318},[5308,9986,5613],{"class":5314},[5308,9988,5616],{"class":5318},[5308,9990,9991,9993,9996,9998],{"class":5310,"line":5329},[5308,9992,5315],{"class":5314},[5308,9994,9995],{"class":5318}," torch.optim ",[5308,9997,5613],{"class":5314},[5308,9999,10000],{"class":5318}," optim\n",[5308,10002,10003],{"class":5310,"line":5336},[5308,10004,5326],{"emptyLinePlaceholder":5325},[5308,10006,10007],{"class":5310,"line":5368},[5308,10008,10009],{"class":5332},"# Проста модель\n",[5308,10011,10012],{"class":5310,"line":5386},[5308,10013,8078],{"class":5318},[5308,10015,10016,10018,10020,10022,10024],{"class":5310,"line":5408},[5308,10017,8083],{"class":5318},[5308,10019,5343],{"class":5342},[5308,10021,5346],{"class":5318},[5308,10023,5349],{"class":5342},[5308,10025,8092],{"class":5318},[5308,10027,10028],{"class":5310,"line":5426},[5308,10029,8106],{"class":5318},[5308,10031,10032,10034,10036,10038,10040],{"class":5310,"line":5431},[5308,10033,8083],{"class":5318},[5308,10035,5349],{"class":5342},[5308,10037,5346],{"class":5318},[5308,10039,5297],{"class":5342},[5308,10041,5365],{"class":5318},[5308,10043,10044],{"class":5310,"line":5437},[5308,10045,5365],{"class":5318},[5308,10047,10048],{"class":5310,"line":5456},[5308,10049,5326],{"emptyLinePlaceholder":5325},[5308,10051,10052],{"class":5310,"line":5462},[5308,10053,10054],{"class":5332},"# Генеруємо фейкові дані\n",[5308,10056,10057,10059,10061,10063,10065,10067],{"class":5310,"line":5468},[5308,10058,5491],{"class":5318},[5308,10060,5494],{"class":5342},[5308,10062,5346],{"class":5318},[5308,10064,5343],{"class":5342},[5308,10066,6217],{"class":5318},[5308,10068,10069],{"class":5332},"# батч з 32 прикладів\n",[5308,10071,10072,10075,10077,10079,10081],{"class":5310,"line":5474},[5308,10073,10074],{"class":5318},"y = torch.randn(",[5308,10076,5494],{"class":5342},[5308,10078,5346],{"class":5318},[5308,10080,5297],{"class":5342},[5308,10082,5365],{"class":5318},[5308,10084,10085],{"class":5310,"line":5483},[5308,10086,5326],{"emptyLinePlaceholder":5325},[5308,10088,10089],{"class":5310,"line":5488},[5308,10090,10091],{"class":5332},"# Функція втрат та оптимізатор\n",[5308,10093,10094],{"class":5310,"line":5503},[5308,10095,10096],{"class":5318},"criterion = nn.MSELoss()\n",[5308,10098,10099,10102,10105,10107,10110],{"class":5310,"line":5509},[5308,10100,10101],{"class":5318},"optimizer = optim.Adam(model.parameters(), ",[5308,10103,10104],{"class":5354},"lr",[5308,10106,5358],{"class":5318},[5308,10108,10109],{"class":5342},"0.001",[5308,10111,5365],{"class":5318},[5308,10113,10114],{"class":5310,"line":5799},[5308,10115,5326],{"emptyLinePlaceholder":5325},[5308,10117,10118],{"class":5310,"line":6158},[5308,10119,10120],{"class":5332},"# ============= TRAINING LOOP =============\n",[5308,10122,10123],{"class":5310,"line":6164},[5308,10124,10125],{"class":5332},"# Крок 1: Обнулити градієнти\n",[5308,10127,10128],{"class":5310,"line":6194},[5308,10129,10130],{"class":5318},"optimizer.zero_grad()\n",[5308,10132,10133],{"class":5310,"line":6199},[5308,10134,5326],{"emptyLinePlaceholder":5325},[5308,10136,10137],{"class":5310,"line":6205},[5308,10138,10139],{"class":5332},"# Крок 2: Forward pass\n",[5308,10141,10142],{"class":5310,"line":6223},[5308,10143,10144],{"class":5318},"predictions = model(X)\n",[5308,10146,10147],{"class":5310,"line":6229},[5308,10148,5326],{"emptyLinePlaceholder":5325},[5308,10150,10151],{"class":5310,"line":6234},[5308,10152,10153],{"class":5332},"# Крок 3: Обчислити втрати\n",[5308,10155,10156],{"class":5310,"line":6257},[5308,10157,10158],{"class":5318},"loss = criterion(predictions, y)\n",[5308,10160,10161],{"class":5310,"line":7788},[5308,10162,5326],{"emptyLinePlaceholder":5325},[5308,10164,10165],{"class":5310,"line":7797},[5308,10166,10167],{"class":5332},"# Крок 4: Backward pass (обчислити градієнти)\n",[5308,10169,10170],{"class":5310,"line":7807},[5308,10171,10172],{"class":5318},"loss.backward()\n",[5308,10174,10175],{"class":5310,"line":7812},[5308,10176,5326],{"emptyLinePlaceholder":5325},[5308,10178,10179],{"class":5310,"line":7822},[5308,10180,10181],{"class":5332},"# Крок 5: Оновити параметри\n",[5308,10183,10184],{"class":5310,"line":7827},[5308,10185,10186],{"class":5318},"optimizer.step()\n",[5308,10188,10189],{"class":5310,"line":7833},[5308,10190,5326],{"emptyLinePlaceholder":5325},[5308,10192,10193],{"class":5310,"line":7843},[5308,10194,10195],{"class":5332},"# Крок 6: Логування\n",[5308,10197,10198,10200,10202,10204,10207,10209,10212,10215,10217],{"class":5310,"line":7850},[5308,10199,5512],{"class":5443},[5308,10201,5447],{"class":5318},[5308,10203,5517],{"class":5361},[5308,10205,10206],{"class":5520},"\"Loss: ",[5308,10208,5524],{"class":5361},[5308,10210,10211],{"class":5318},"loss.item()",[5308,10213,10214],{"class":5361},":.4f}",[5308,10216,5533],{"class":5520},[5308,10218,5365],{"class":5318},[5537,10220,10221],{"v-slot:output":5304},[5540,10222,10223,10239],{},[5543,10224,10225],{},[5546,10226,10227,10230,10233,10236],{},[5549,10228,10229],{"align":5551},"Крок навчання",[5549,10231,10232],{"align":5845},"Операція",[5549,10234,10235],{"align":5551},"Результат",[5549,10237,10238],{"align":5845},"Статус",[5563,10240,10241,10257,10273,10288,10304],{},[5546,10242,10243,10245,10251,10254],{},[5568,10244,5297],{"align":5551},[5568,10246,10247,10248,5869],{"align":5845},"Прямий прохід (",[5201,10249,10250],{},"forward",[5568,10252,10253],{"align":5551},"$\\hat{y} = \\text{model}(X)$",[5568,10255,10256],{"align":5845},"Обчислено передбачення",[5546,10258,10259,10261,10267,10270],{},[5568,10260,5592],{"align":5551},[5568,10262,10263,10264,5869],{"align":5845},"Функція втрат (",[5201,10265,10266],{},"criterion",[5568,10268,10269],{"align":5551},"$Loss = \\mathbf{0.9876}$",[5568,10271,10272],{"align":5845},"Кількісна оцінка помилки",[5546,10274,10275,10277,10280,10285],{},[5568,10276,6727],{"align":5551},[5568,10278,10279],{"align":5845},"Обнулення градієнтів",[5568,10281,10282],{"align":5551},[5201,10283,10284],{},"optimizer.zero_grad()",[5568,10286,10287],{"align":5845},"Буфер очищено",[5546,10289,10290,10293,10296,10301],{},[5568,10291,10292],{"align":5551},"4",[5568,10294,10295],{"align":5845},"Зворотний прохід",[5568,10297,10298],{"align":5551},[5201,10299,10300],{},"loss.backward()",[5568,10302,10303],{"align":5845},"Градієнти пораховані",[5546,10305,10306,10308,10311,10316],{},[5568,10307,6210],{"align":5551},[5568,10309,10310],{"align":5845},"Крок оптимізатора",[5568,10312,10313],{"align":5551},[5201,10314,10315],{},"optimizer.step()",[5568,10317,10318],{"align":5845},"Параметри оновлено",[5886,10320,10321],{},[5266,10322,10323,10325,10326,10329,10330,10333,10334,10337,10338,10341,10342,10345],{},[5227,10324,5892],{}," Training loop — це як тренування на біговій доріжці. ",[5227,10327,10328],{},"Forward"," — ви біжите круг. ",[5227,10331,10332],{},"Loss"," — таймер показує ваш час. ",[5227,10335,10336],{},"Backward"," — тренер аналізує, що можна покращити. ",[5227,10339,10340],{},"Optimizer.step()"," — ви коригуєте техніку бігу. ",[5227,10343,10344],{},"Zero_grad()"," — скидаєте таймер перед новим кругом.",[10347,10348,10349,10358,10363],"warning",{},[5266,10350,10351,10354,10355,10357],{},[5227,10352,10353],{},"Найпоширеніша помилка:"," Забути викликати ",[5201,10356,10284],{}," на початку кожної ітерації. Це призведе до накопичення градієнтів з попередніх батчів та невірного навчання.",[5266,10359,10360],{},[5227,10361,10362],{},"Порядок має значення:",[5299,10364,10366],{"className":5301,"code":10365,"language":5303,"meta":5304,"style":5304},"optimizer.zero_grad()  # 1️⃣ Завжди першим!\nloss = criterion(model(X), y)\nloss.backward()\noptimizer.step()\n",[5201,10367,10368,10376,10381,10385],{"__ignoreMap":5304},[5308,10369,10370,10373],{"class":5310,"line":5311},[5308,10371,10372],{"class":5318},"optimizer.zero_grad()  ",[5308,10374,10375],{"class":5332},"# 1️⃣ Завжди першим!\n",[5308,10377,10378],{"class":5310,"line":5322},[5308,10379,10380],{"class":5318},"loss = criterion(model(X), y)\n",[5308,10382,10383],{"class":5310,"line":5329},[5308,10384,10172],{"class":5318},[5308,10386,10387],{"class":5310,"line":5336},[5308,10388,10186],{"class":5318},[5291,10390,10392],{"id":10391},"функції-втрат-loss-functions","Функції втрат (Loss Functions)",[5266,10394,10395],{},"Вибір функції втрат залежить від типу задачі.",[6335,10397,10399],{"id":10398},"регресія","Регресія",[5283,10401,10403],{"title":10402},"regression_losses.ipynb",[5287,10404,10405,10596],{"execution-count":5297},[5299,10406,10408],{"className":5301,"code":10407,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\ny_true = torch.tensor([1.0, 2.0, 3.0, 4.0, 5.0])\ny_pred = torch.tensor([1.2, 2.1, 2.5, 4.3, 5.8])\n\n# MSE (Mean Squared Error) — найпопулярніша для регресії\nmse = nn.MSELoss()\nprint(f\"MSE Loss: {mse(y_pred, y_true):.4f}\")\n\n# MAE (Mean Absolute Error) — стійка до викидів\nmae = nn.L1Loss()\nprint(f\"MAE Loss: {mae(y_pred, y_true):.4f}\")\n\n# Smooth L1 Loss (Huber Loss) — компроміс між MSE та MAE\nsmooth_l1 = nn.SmoothL1Loss()\nprint(f\"Smooth L1: {smooth_l1(y_pred, y_true):.4f}\")\n",[5201,10409,10410,10416,10426,10430,10458,10488,10492,10497,10502,10524,10528,10533,10538,10560,10564,10569,10574],{"__ignoreMap":5304},[5308,10411,10412,10414],{"class":5310,"line":5311},[5308,10413,5315],{"class":5314},[5308,10415,5319],{"class":5318},[5308,10417,10418,10420,10422,10424],{"class":5310,"line":5322},[5308,10419,5315],{"class":5314},[5308,10421,5610],{"class":5318},[5308,10423,5613],{"class":5314},[5308,10425,5616],{"class":5318},[5308,10427,10428],{"class":5310,"line":5329},[5308,10429,5326],{"emptyLinePlaceholder":5325},[5308,10431,10432,10435,10437,10439,10441,10443,10446,10448,10451,10453,10456],{"class":5310,"line":5336},[5308,10433,10434],{"class":5318},"y_true = torch.tensor([",[5308,10436,7191],{"class":5342},[5308,10438,5346],{"class":5318},[5308,10440,7185],{"class":5342},[5308,10442,5346],{"class":5318},[5308,10444,10445],{"class":5342},"3.0",[5308,10447,5346],{"class":5318},[5308,10449,10450],{"class":5342},"4.0",[5308,10452,5346],{"class":5318},[5308,10454,10455],{"class":5342},"5.0",[5308,10457,7207],{"class":5318},[5308,10459,10460,10463,10466,10468,10471,10473,10476,10478,10481,10483,10486],{"class":5310,"line":5368},[5308,10461,10462],{"class":5318},"y_pred = torch.tensor([",[5308,10464,10465],{"class":5342},"1.2",[5308,10467,5346],{"class":5318},[5308,10469,10470],{"class":5342},"2.1",[5308,10472,5346],{"class":5318},[5308,10474,10475],{"class":5342},"2.5",[5308,10477,5346],{"class":5318},[5308,10479,10480],{"class":5342},"4.3",[5308,10482,5346],{"class":5318},[5308,10484,10485],{"class":5342},"5.8",[5308,10487,7207],{"class":5318},[5308,10489,10490],{"class":5310,"line":5386},[5308,10491,5326],{"emptyLinePlaceholder":5325},[5308,10493,10494],{"class":5310,"line":5408},[5308,10495,10496],{"class":5332},"# MSE (Mean Squared Error) — найпопулярніша для регресії\n",[5308,10498,10499],{"class":5310,"line":5426},[5308,10500,10501],{"class":5318},"mse = nn.MSELoss()\n",[5308,10503,10504,10506,10508,10510,10513,10515,10518,10520,10522],{"class":5310,"line":5431},[5308,10505,5512],{"class":5443},[5308,10507,5447],{"class":5318},[5308,10509,5517],{"class":5361},[5308,10511,10512],{"class":5520},"\"MSE Loss: ",[5308,10514,5524],{"class":5361},[5308,10516,10517],{"class":5318},"mse(y_pred, y_true)",[5308,10519,10214],{"class":5361},[5308,10521,5533],{"class":5520},[5308,10523,5365],{"class":5318},[5308,10525,10526],{"class":5310,"line":5437},[5308,10527,5326],{"emptyLinePlaceholder":5325},[5308,10529,10530],{"class":5310,"line":5456},[5308,10531,10532],{"class":5332},"# MAE (Mean Absolute Error) — стійка до викидів\n",[5308,10534,10535],{"class":5310,"line":5462},[5308,10536,10537],{"class":5318},"mae = nn.L1Loss()\n",[5308,10539,10540,10542,10544,10546,10549,10551,10554,10556,10558],{"class":5310,"line":5468},[5308,10541,5512],{"class":5443},[5308,10543,5447],{"class":5318},[5308,10545,5517],{"class":5361},[5308,10547,10548],{"class":5520},"\"MAE Loss: ",[5308,10550,5524],{"class":5361},[5308,10552,10553],{"class":5318},"mae(y_pred, y_true)",[5308,10555,10214],{"class":5361},[5308,10557,5533],{"class":5520},[5308,10559,5365],{"class":5318},[5308,10561,10562],{"class":5310,"line":5474},[5308,10563,5326],{"emptyLinePlaceholder":5325},[5308,10565,10566],{"class":5310,"line":5483},[5308,10567,10568],{"class":5332},"# Smooth L1 Loss (Huber Loss) — компроміс між MSE та MAE\n",[5308,10570,10571],{"class":5310,"line":5488},[5308,10572,10573],{"class":5318},"smooth_l1 = nn.SmoothL1Loss()\n",[5308,10575,10576,10578,10580,10582,10585,10587,10590,10592,10594],{"class":5310,"line":5503},[5308,10577,5512],{"class":5443},[5308,10579,5447],{"class":5318},[5308,10581,5517],{"class":5361},[5308,10583,10584],{"class":5520},"\"Smooth L1: ",[5308,10586,5524],{"class":5361},[5308,10588,10589],{"class":5318},"smooth_l1(y_pred, y_true)",[5308,10591,10214],{"class":5361},[5308,10593,5533],{"class":5520},[5308,10595,5365],{"class":5318},[5537,10597,10598],{"v-slot:output":5304},[5540,10599,10600,10616],{},[5543,10601,10602],{},[5546,10603,10604,10607,10610,10613],{},[5549,10605,10606],{"align":5845},"Функція втрат",[5549,10608,10609],{"align":5845},"Назва в PyTorch",[5549,10611,10612],{"align":5551},"Значення втрат",[5549,10614,10615],{"align":5845},"Чутливість до викидів",[5563,10617,10618,10640,10662],{},[5546,10619,10620,10625,10630,10637],{},[5568,10621,10622],{"align":5845},[5227,10623,10624],{},"Mean Squared Error (MSE)",[5568,10626,10627],{"align":5845},[5201,10628,10629],{},"nn.MSELoss()",[5568,10631,10632],{"align":5551},[5227,10633,10634],{},[5201,10635,10636],{},"0.2480",[5568,10638,10639],{"align":5845},"⚠️ Висока (квадратичний штраф за великі похибки)",[5546,10641,10642,10647,10652,10659],{},[5568,10643,10644],{"align":5845},[5227,10645,10646],{},"Mean Absolute Error (MAE)",[5568,10648,10649],{"align":5845},[5201,10650,10651],{},"nn.L1Loss()",[5568,10653,10654],{"align":5551},[5227,10655,10656],{},[5201,10657,10658],{},"0.3800",[5568,10660,10661],{"align":5845},"🛡️ Стійка (робастна до викидів)",[5546,10663,10664,10669,10674,10681],{},[5568,10665,10666],{"align":5845},[5227,10667,10668],{},"Huber \u002F Smooth L1",[5568,10670,10671],{"align":5845},[5201,10672,10673],{},"nn.SmoothL1Loss()",[5568,10675,10676],{"align":5551},[5227,10677,10678],{},[5201,10679,10680],{},"0.1940",[5568,10682,10683],{"align":5845},"⚖️ Компроміс (L2 біля нуля, L1 на хвостах)",[5186,10685,10686,10730],{},[5189,10687,10690,10701,10706,10717,10722],{"icon":10688,"title":10689},"i-lucide-trending-up","📊 MSE Loss",[5266,10691,10692,10695,10696],{},[5227,10693,10694],{},"Формула:"," ",[10697,10698],"math-formula",{"tex":10699,":inline":10700},"\\frac{1}{n}\\sum(y_{true} - y_{pred})^2","true",[5266,10702,10703],{},[5227,10704,10705],{},"Переваги:",[5194,10707,10708,10711,10714],{},[5197,10709,10710],{},"Стандартний вибір для регресії",[5197,10712,10713],{},"Диференційовна всюди",[5197,10715,10716],{},"Сильно карає великі помилки",[5266,10718,10719],{},[5227,10720,10721],{},"Недоліки:",[5194,10723,10724,10727],{},[5197,10725,10726],{},"Чутлива до викидів",[5197,10728,10729],{},"Градієнти можуть вибухнути",[5189,10731,10734,10741,10745,10753,10757],{"icon":10732,"title":10733},"i-lucide-minus","📏 MAE Loss",[5266,10735,10736,10695,10738],{},[5227,10737,10694],{},[10697,10739],{"tex":10740,":inline":10700},"\\frac{1}{n}\\sum|y_{true} - y_{pred}|",[5266,10742,10743],{},[5227,10744,10705],{},[5194,10746,10747,10750],{},[5197,10748,10749],{},"Стійка до викидів",[5197,10751,10752],{},"Інтерпретація: середня абсолютна помилка",[5266,10754,10755],{},[5227,10756,10721],{},[5194,10758,10759,10762],{},[5197,10760,10761],{},"Недиференційовна в нулі",[5197,10763,10764],{},"Повільніша збіжність",[6335,10766,10768],{"id":10767},"бінарна-класифікація","Бінарна класифікація",[5283,10770,10772],{"title":10771},"binary_classification_losses.ipynb",[5287,10773,10774,10954],{"execution-count":5297},[5299,10775,10777],{"className":5301,"code":10776,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\n# Справжні мітки (0 або 1)\ny_true = torch.tensor([0.0, 1.0, 1.0, 0.0, 1.0])\n\n# Передбачення моделі (логіти — ДО sigmoid)\nlogits = torch.tensor([-2.3, 1.5, 0.8, -1.1, 2.7])\n\n# BCEWithLogitsLoss — включає sigmoid (РЕКОМЕНДОВАНО)\ncriterion = nn.BCEWithLogitsLoss()\nloss = criterion(logits, y_true)\nprint(f\"BCEWithLogitsLoss: {loss:.4f}\")\n\n# Альтернатива: BCELoss (потрібен sigmoid вручну)\nprobs = torch.sigmoid(logits)\ncriterion_bce = nn.BCELoss()\nloss_bce = criterion_bce(probs, y_true)\nprint(f\"BCELoss (з sigmoid): {loss_bce:.4f}\")\n",[5201,10778,10779,10785,10795,10799,10804,10828,10832,10837,10867,10871,10876,10881,10886,10908,10912,10917,10922,10927,10932],{"__ignoreMap":5304},[5308,10780,10781,10783],{"class":5310,"line":5311},[5308,10782,5315],{"class":5314},[5308,10784,5319],{"class":5318},[5308,10786,10787,10789,10791,10793],{"class":5310,"line":5322},[5308,10788,5315],{"class":5314},[5308,10790,5610],{"class":5318},[5308,10792,5613],{"class":5314},[5308,10794,5616],{"class":5318},[5308,10796,10797],{"class":5310,"line":5329},[5308,10798,5326],{"emptyLinePlaceholder":5325},[5308,10800,10801],{"class":5310,"line":5336},[5308,10802,10803],{"class":5332},"# Справжні мітки (0 або 1)\n",[5308,10805,10806,10808,10810,10812,10814,10816,10818,10820,10822,10824,10826],{"class":5310,"line":5368},[5308,10807,10434],{"class":5318},[5308,10809,7196],{"class":5342},[5308,10811,5346],{"class":5318},[5308,10813,7191],{"class":5342},[5308,10815,5346],{"class":5318},[5308,10817,7191],{"class":5342},[5308,10819,5346],{"class":5318},[5308,10821,7196],{"class":5342},[5308,10823,5346],{"class":5318},[5308,10825,7191],{"class":5342},[5308,10827,7207],{"class":5318},[5308,10829,10830],{"class":5310,"line":5386},[5308,10831,5326],{"emptyLinePlaceholder":5325},[5308,10833,10834],{"class":5310,"line":5408},[5308,10835,10836],{"class":5332},"# Передбачення моделі (логіти — ДО sigmoid)\n",[5308,10838,10839,10842,10845,10847,10850,10852,10855,10857,10860,10862,10865],{"class":5310,"line":5426},[5308,10840,10841],{"class":5318},"logits = torch.tensor([-",[5308,10843,10844],{"class":5342},"2.3",[5308,10846,5346],{"class":5318},[5308,10848,10849],{"class":5342},"1.5",[5308,10851,5346],{"class":5318},[5308,10853,10854],{"class":5342},"0.8",[5308,10856,7188],{"class":5318},[5308,10858,10859],{"class":5342},"1.1",[5308,10861,5346],{"class":5318},[5308,10863,10864],{"class":5342},"2.7",[5308,10866,7207],{"class":5318},[5308,10868,10869],{"class":5310,"line":5431},[5308,10870,5326],{"emptyLinePlaceholder":5325},[5308,10872,10873],{"class":5310,"line":5437},[5308,10874,10875],{"class":5332},"# BCEWithLogitsLoss — включає sigmoid (РЕКОМЕНДОВАНО)\n",[5308,10877,10878],{"class":5310,"line":5456},[5308,10879,10880],{"class":5318},"criterion = nn.BCEWithLogitsLoss()\n",[5308,10882,10883],{"class":5310,"line":5462},[5308,10884,10885],{"class":5318},"loss = criterion(logits, y_true)\n",[5308,10887,10888,10890,10892,10894,10897,10899,10902,10904,10906],{"class":5310,"line":5468},[5308,10889,5512],{"class":5443},[5308,10891,5447],{"class":5318},[5308,10893,5517],{"class":5361},[5308,10895,10896],{"class":5520},"\"BCEWithLogitsLoss: ",[5308,10898,5524],{"class":5361},[5308,10900,10901],{"class":5318},"loss",[5308,10903,10214],{"class":5361},[5308,10905,5533],{"class":5520},[5308,10907,5365],{"class":5318},[5308,10909,10910],{"class":5310,"line":5474},[5308,10911,5326],{"emptyLinePlaceholder":5325},[5308,10913,10914],{"class":5310,"line":5483},[5308,10915,10916],{"class":5332},"# Альтернатива: BCELoss (потрібен sigmoid вручну)\n",[5308,10918,10919],{"class":5310,"line":5488},[5308,10920,10921],{"class":5318},"probs = torch.sigmoid(logits)\n",[5308,10923,10924],{"class":5310,"line":5503},[5308,10925,10926],{"class":5318},"criterion_bce = nn.BCELoss()\n",[5308,10928,10929],{"class":5310,"line":5509},[5308,10930,10931],{"class":5318},"loss_bce = criterion_bce(probs, y_true)\n",[5308,10933,10934,10936,10938,10940,10943,10945,10948,10950,10952],{"class":5310,"line":5799},[5308,10935,5512],{"class":5443},[5308,10937,5447],{"class":5318},[5308,10939,5517],{"class":5361},[5308,10941,10942],{"class":5520},"\"BCELoss (з sigmoid): ",[5308,10944,5524],{"class":5361},[5308,10946,10947],{"class":5318},"loss_bce",[5308,10949,10214],{"class":5361},[5308,10951,5533],{"class":5520},[5308,10953,5365],{"class":5318},[5537,10955,10956],{"v-slot:output":5304},[5540,10957,10958,10973],{},[5543,10959,10960],{},[5546,10961,10962,10965,10968,10970],{},[5549,10963,10964],{"align":5845},"Варіант функції втрат",[5549,10966,10967],{"align":5845},"Формула обчислення",[5549,10969,10612],{"align":5551},[5549,10971,10972],{"align":5845},"Чисельна стабільність",[5563,10974,10975,11001],{},[5546,10976,10977,10984,10987,10994],{},[5568,10978,10979],{"align":5845},[5227,10980,10981],{},[5201,10982,10983],{},"BCEWithLogitsLoss()",[5568,10985,10986],{"align":5845},"Приймає сирі логіти $z$",[5568,10988,10989],{"align":5551},[5227,10990,10991],{},[5201,10992,10993],{},"0.2847",[5568,10995,10996,10997,11000],{"align":5845},"🛡️ ",[5227,10998,10999],{},"Максимальна"," (об'єднує Sigmoid + BCE через log-sum-exp)",[5546,11002,11003,11010,11016,11022],{},[5568,11004,11005],{"align":5845},[5227,11006,11007],{},[5201,11008,11009],{},"BCELoss()",[5568,11011,11012,11013,7378],{"align":5845},"Приймає $\\sigma(z) \\in ",[5308,11014,11015],{},"0, 1",[5568,11017,11018],{"align":5551},[5227,11019,11020],{},[5201,11021,10993],{},[5568,11023,11024],{"align":5845},"⚠️ Ризик переповнення або втрати точності",[5898,11026,11027,11040,11052],{},[5266,11028,11029],{},[5227,11030,11031,11032,11035,11036,11039],{},"Завжди використовуйте ",[5201,11033,11034],{},"BCEWithLogitsLoss"," замість ",[5201,11037,11038],{},"BCELoss","!",[5266,11041,11042,11043,11046,11047,11051],{},"Причина: комбінація sigmoid + BCE у одній операції ",[5227,11044,11045],{},"чисельно стабільніша"," та захищена від переповнення (",[11048,11049,11050],"em",{},"overflow",") при екстремальних логітах.",[5299,11053,11055],{"className":5301,"code":11054,"language":5303,"meta":5304,"style":5304},"# ❌ Нестабільно\nprobs = torch.sigmoid(logits)\nloss = nn.BCELoss()(probs, y_true)\n\n# ✅ Стабільно\nloss = nn.BCEWithLogitsLoss()(logits, y_true)\n",[5201,11056,11057,11062,11066,11071,11075,11080],{"__ignoreMap":5304},[5308,11058,11059],{"class":5310,"line":5311},[5308,11060,11061],{"class":5332},"# ❌ Нестабільно\n",[5308,11063,11064],{"class":5310,"line":5322},[5308,11065,10921],{"class":5318},[5308,11067,11068],{"class":5310,"line":5329},[5308,11069,11070],{"class":5318},"loss = nn.BCELoss()(probs, y_true)\n",[5308,11072,11073],{"class":5310,"line":5336},[5308,11074,5326],{"emptyLinePlaceholder":5325},[5308,11076,11077],{"class":5310,"line":5368},[5308,11078,11079],{"class":5332},"# ✅ Стабільно\n",[5308,11081,11082],{"class":5310,"line":5386},[5308,11083,11084],{"class":5318},"loss = nn.BCEWithLogitsLoss()(logits, y_true)\n",[6335,11086,11088],{"id":11087},"багатокласова-класифікація","Багатокласова класифікація",[5283,11090,11092],{"title":11091},"multiclass_losses.ipynb",[5287,11093,11094,11404],{"execution-count":5297},[5299,11095,11097],{"className":5301,"code":11096,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\n# Справжні мітки класів (індекси)\ny_true = torch.tensor([0, 2, 1, 0, 2])\n\n# Передбачення моделі (логіти для 3 класів)\nlogits = torch.tensor([\n    [2.1, 0.3, 0.5],  # найбільший логіт для класу 0\n    [0.1, 0.4, 3.2],  # найбільший логіт для класу 2\n    [0.5, 2.8, 0.2],  # найбільший логіт для класу 1\n    [1.9, 0.6, 0.3],  # клас 0\n    [0.2, 0.5, 2.1]   # клас 2\n])\n\n# CrossEntropyLoss — включає LogSoftmax (СТАНДАРТ)\ncriterion = nn.CrossEntropyLoss()\nloss = criterion(logits, y_true)\nprint(f\"CrossEntropyLoss: {loss:.4f}\")\n\n# Передбачені класи\npredicted_classes = logits.argmax(dim=1)\nprint(f\"\\nСправжні класи: {y_true}\")\nprint(f\"Передбачені: {predicted_classes}\")\nprint(f\"Accuracy: {(predicted_classes == y_true).float().mean():.2%}\")\n",[5201,11098,11099,11105,11115,11119,11124,11148,11152,11157,11162,11184,11206,11227,11248,11268,11272,11276,11281,11286,11290,11311,11315,11320,11333,11359,11381],{"__ignoreMap":5304},[5308,11100,11101,11103],{"class":5310,"line":5311},[5308,11102,5315],{"class":5314},[5308,11104,5319],{"class":5318},[5308,11106,11107,11109,11111,11113],{"class":5310,"line":5322},[5308,11108,5315],{"class":5314},[5308,11110,5610],{"class":5318},[5308,11112,5613],{"class":5314},[5308,11114,5616],{"class":5318},[5308,11116,11117],{"class":5310,"line":5329},[5308,11118,5326],{"emptyLinePlaceholder":5325},[5308,11120,11121],{"class":5310,"line":5336},[5308,11122,11123],{"class":5332},"# Справжні мітки класів (індекси)\n",[5308,11125,11126,11128,11130,11132,11134,11136,11138,11140,11142,11144,11146],{"class":5310,"line":5368},[5308,11127,10434],{"class":5318},[5308,11129,6704],{"class":5342},[5308,11131,5346],{"class":5318},[5308,11133,5592],{"class":5342},[5308,11135,5346],{"class":5318},[5308,11137,5297],{"class":5342},[5308,11139,5346],{"class":5318},[5308,11141,6704],{"class":5342},[5308,11143,5346],{"class":5318},[5308,11145,5592],{"class":5342},[5308,11147,7207],{"class":5318},[5308,11149,11150],{"class":5310,"line":5386},[5308,11151,5326],{"emptyLinePlaceholder":5325},[5308,11153,11154],{"class":5310,"line":5408},[5308,11155,11156],{"class":5332},"# Передбачення моделі (логіти для 3 класів)\n",[5308,11158,11159],{"class":5310,"line":5426},[5308,11160,11161],{"class":5318},"logits = torch.tensor([\n",[5308,11163,11164,11167,11169,11171,11173,11175,11178,11181],{"class":5310,"line":5431},[5308,11165,11166],{"class":5318},"    [",[5308,11168,10470],{"class":5342},[5308,11170,5346],{"class":5318},[5308,11172,7606],{"class":5342},[5308,11174,5346],{"class":5318},[5308,11176,11177],{"class":5342},"0.5",[5308,11179,11180],{"class":5318},"],  ",[5308,11182,11183],{"class":5332},"# найбільший логіт для класу 0\n",[5308,11185,11186,11188,11191,11193,11196,11198,11201,11203],{"class":5310,"line":5437},[5308,11187,11166],{"class":5318},[5308,11189,11190],{"class":5342},"0.1",[5308,11192,5346],{"class":5318},[5308,11194,11195],{"class":5342},"0.4",[5308,11197,5346],{"class":5318},[5308,11199,11200],{"class":5342},"3.2",[5308,11202,11180],{"class":5318},[5308,11204,11205],{"class":5332},"# найбільший логіт для класу 2\n",[5308,11207,11208,11210,11212,11214,11217,11219,11222,11224],{"class":5310,"line":5456},[5308,11209,11166],{"class":5318},[5308,11211,11177],{"class":5342},[5308,11213,5346],{"class":5318},[5308,11215,11216],{"class":5342},"2.8",[5308,11218,5346],{"class":5318},[5308,11220,11221],{"class":5342},"0.2",[5308,11223,11180],{"class":5318},[5308,11225,11226],{"class":5332},"# найбільший логіт для класу 1\n",[5308,11228,11229,11231,11234,11236,11239,11241,11243,11245],{"class":5310,"line":5462},[5308,11230,11166],{"class":5318},[5308,11232,11233],{"class":5342},"1.9",[5308,11235,5346],{"class":5318},[5308,11237,11238],{"class":5342},"0.6",[5308,11240,5346],{"class":5318},[5308,11242,7606],{"class":5342},[5308,11244,11180],{"class":5318},[5308,11246,11247],{"class":5332},"# клас 0\n",[5308,11249,11250,11252,11254,11256,11258,11260,11262,11265],{"class":5310,"line":5468},[5308,11251,11166],{"class":5318},[5308,11253,11221],{"class":5342},[5308,11255,5346],{"class":5318},[5308,11257,11177],{"class":5342},[5308,11259,5346],{"class":5318},[5308,11261,10470],{"class":5342},[5308,11263,11264],{"class":5318},"]   ",[5308,11266,11267],{"class":5332},"# клас 2\n",[5308,11269,11270],{"class":5310,"line":5474},[5308,11271,7207],{"class":5318},[5308,11273,11274],{"class":5310,"line":5483},[5308,11275,5326],{"emptyLinePlaceholder":5325},[5308,11277,11278],{"class":5310,"line":5488},[5308,11279,11280],{"class":5332},"# CrossEntropyLoss — включає LogSoftmax (СТАНДАРТ)\n",[5308,11282,11283],{"class":5310,"line":5503},[5308,11284,11285],{"class":5318},"criterion = nn.CrossEntropyLoss()\n",[5308,11287,11288],{"class":5310,"line":5509},[5308,11289,10885],{"class":5318},[5308,11291,11292,11294,11296,11298,11301,11303,11305,11307,11309],{"class":5310,"line":5799},[5308,11293,5512],{"class":5443},[5308,11295,5447],{"class":5318},[5308,11297,5517],{"class":5361},[5308,11299,11300],{"class":5520},"\"CrossEntropyLoss: ",[5308,11302,5524],{"class":5361},[5308,11304,10901],{"class":5318},[5308,11306,10214],{"class":5361},[5308,11308,5533],{"class":5520},[5308,11310,5365],{"class":5318},[5308,11312,11313],{"class":5310,"line":6158},[5308,11314,5326],{"emptyLinePlaceholder":5325},[5308,11316,11317],{"class":5310,"line":6164},[5308,11318,11319],{"class":5332},"# Передбачені класи\n",[5308,11321,11322,11325,11327,11329,11331],{"class":5310,"line":6194},[5308,11323,11324],{"class":5318},"predicted_classes = logits.argmax(",[5308,11326,8989],{"class":5354},[5308,11328,5358],{"class":5318},[5308,11330,5297],{"class":5342},[5308,11332,5365],{"class":5318},[5308,11334,11335,11337,11339,11341,11343,11345,11348,11350,11353,11355,11357],{"class":5310,"line":6199},[5308,11336,5512],{"class":5443},[5308,11338,5447],{"class":5318},[5308,11340,5517],{"class":5361},[5308,11342,5533],{"class":5520},[5308,11344,8195],{"class":8194},[5308,11346,11347],{"class":5520},"Справжні класи: ",[5308,11349,5524],{"class":5361},[5308,11351,11352],{"class":5318},"y_true",[5308,11354,5530],{"class":5361},[5308,11356,5533],{"class":5520},[5308,11358,5365],{"class":5318},[5308,11360,11361,11363,11365,11367,11370,11372,11375,11377,11379],{"class":5310,"line":6205},[5308,11362,5512],{"class":5443},[5308,11364,5447],{"class":5318},[5308,11366,5517],{"class":5361},[5308,11368,11369],{"class":5520},"\"Передбачені: ",[5308,11371,5524],{"class":5361},[5308,11373,11374],{"class":5318},"predicted_classes",[5308,11376,5530],{"class":5361},[5308,11378,5533],{"class":5520},[5308,11380,5365],{"class":5318},[5308,11382,11383,11385,11387,11389,11392,11394,11397,11400,11402],{"class":5310,"line":6223},[5308,11384,5512],{"class":5443},[5308,11386,5447],{"class":5318},[5308,11388,5517],{"class":5361},[5308,11390,11391],{"class":5520},"\"Accuracy: ",[5308,11393,5524],{"class":5361},[5308,11395,11396],{"class":5318},"(predicted_classes == y_true).float().mean()",[5308,11398,11399],{"class":5361},":.2%}",[5308,11401,5533],{"class":5520},[5308,11403,5365],{"class":5318},[5537,11405,11406],{"v-slot:output":5304},[5540,11407,11408,11427],{},[5543,11409,11410],{},[5546,11411,11412,11415,11418,11421,11424],{},[5549,11413,11414],{"align":5551},"Зразок",[5549,11416,11417],{"align":5551},"Справжній клас ($y$)",[5549,11419,11420],{"align":5845},"Передбачені ймовірності (Softmax)",[5549,11422,11423],{"align":5551},"Передбачений клас",[5549,11425,11426],{"align":5551},"CrossEntropyLoss",[5563,11428,11429,11449,11469],{},[5546,11430,11431,11433,11437,11442,11446],{},[5568,11432,5297],{"align":5551},[5568,11434,11435],{"align":5551},[5201,11436,6704],{},[5568,11438,11439],{"align":5845},[5201,11440,11441],{},"[0.72, 0.18, 0.10]",[5568,11443,11444],{"align":5551},[5201,11445,6704],{},[5568,11447,11448],{"align":5551},"$\\mathbf{0.4521}$",[5546,11450,11451,11453,11457,11462,11466],{},[5568,11452,5592],{"align":5551},[5568,11454,11455],{"align":5551},[5201,11456,5592],{},[5568,11458,11459],{"align":5845},[5201,11460,11461],{},"[0.08, 0.22, 0.70]",[5568,11463,11464],{"align":5551},[5201,11465,5592],{},[5568,11467,11468],{"align":5551},"(середнє по батчу)",[5546,11470,11471,11473,11477,11482,11486],{},[5568,11472,6727],{"align":5551},[5568,11474,11475],{"align":5551},[5201,11476,5297],{},[5568,11478,11479],{"align":5845},[5201,11480,11481],{},"[0.15, 0.75, 0.10]",[5568,11483,11484],{"align":5551},[5201,11485,5297],{},[5568,11487,11488],{"align":5551},"🎯 Модель робить впевнені вірні прогнози",[6320,11490,11491,11499,11513],{},[5266,11492,11493,10695,11496,11498],{},[5227,11494,11495],{},"Важливо:",[5201,11497,11426],{}," очікує:",[5194,11500,11501,11507],{},[5197,11502,11503,11506],{},[5227,11504,11505],{},"Вхід:"," логіти (сирі виходи моделі, БЕЗ softmax)",[5197,11508,11509,11512],{},[5227,11510,11511],{},"Мітки:"," індекси класів (0, 1, 2, ...), а НЕ one-hot encoding",[5299,11514,11516],{"className":5301,"code":11515,"language":5303,"meta":5304,"style":5304},"# ✅ Правильно\ny_true = torch.tensor([0, 2, 1])  # індекси класів\n\n# ❌ Неправильно\ny_true = torch.tensor([[1, 0, 0], [0, 0, 1], [0, 1, 0]])  # one-hot\n",[5201,11517,11518,11523,11543,11547,11552],{"__ignoreMap":5304},[5308,11519,11520],{"class":5310,"line":5311},[5308,11521,11522],{"class":5332},"# ✅ Правильно\n",[5308,11524,11525,11527,11529,11531,11533,11535,11537,11540],{"class":5310,"line":5322},[5308,11526,10434],{"class":5318},[5308,11528,6704],{"class":5342},[5308,11530,5346],{"class":5318},[5308,11532,5592],{"class":5342},[5308,11534,5346],{"class":5318},[5308,11536,5297],{"class":5342},[5308,11538,11539],{"class":5318},"])  ",[5308,11541,11542],{"class":5332},"# індекси класів\n",[5308,11544,11545],{"class":5310,"line":5329},[5308,11546,5326],{"emptyLinePlaceholder":5325},[5308,11548,11549],{"class":5310,"line":5336},[5308,11550,11551],{"class":5332},"# ❌ Неправильно\n",[5308,11553,11554,11557,11559,11561,11563,11565,11567,11570,11572,11574,11576,11578,11580,11582,11584,11586,11588,11590,11592,11595],{"class":5310,"line":5368},[5308,11555,11556],{"class":5318},"y_true = torch.tensor([[",[5308,11558,5297],{"class":5342},[5308,11560,5346],{"class":5318},[5308,11562,6704],{"class":5342},[5308,11564,5346],{"class":5318},[5308,11566,6704],{"class":5342},[5308,11568,11569],{"class":5318},"], [",[5308,11571,6704],{"class":5342},[5308,11573,5346],{"class":5318},[5308,11575,6704],{"class":5342},[5308,11577,5346],{"class":5318},[5308,11579,5297],{"class":5342},[5308,11581,11569],{"class":5318},[5308,11583,6704],{"class":5342},[5308,11585,5346],{"class":5318},[5308,11587,5297],{"class":5342},[5308,11589,5346],{"class":5318},[5308,11591,6704],{"class":5342},[5308,11593,11594],{"class":5318},"]])  ",[5308,11596,11597],{"class":5332},"# one-hot\n",[5940,11599],{},[5291,11601,11603],{"id":11602},"оптимізатори","Оптимізатори",[5266,11605,11606,11607,11610],{},"Оптимізатор визначає, ",[5227,11608,11609],{},"як саме"," оновлюються параметри моделі на основі градієнтів.",[6335,11612,11614],{"id":11613},"sgd-stochastic-gradient-descent","SGD (Stochastic Gradient Descent)",[5266,11616,11617],{},"Найпростіший оптимізатор:",[5283,11619,11621],{"title":11620},"sgd_optimizer.ipynb",[5287,11622,11623,11850],{"execution-count":5297},[5299,11624,11626],{"className":5301,"code":11625,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.optim as optim\nimport torch.nn as nn\n\nmodel = nn.Linear(10, 1)\n\n# Базовий SGD\noptimizer = optim.SGD(model.parameters(), lr=0.01)\n\n# SGD з momentum\noptimizer_momentum = optim.SGD(model.parameters(), lr=0.01, momentum=0.9)\n\n# SGD з Nesterov momentum\noptimizer_nesterov = optim.SGD(\n    model.parameters(), \n    lr=0.01, \n    momentum=0.9, \n    nesterov=True\n)\n\n# SGD з weight decay (L2 regularization)\noptimizer_wd = optim.SGD(\n    model.parameters(),\n    lr=0.01,\n    momentum=0.9,\n    weight_decay=1e-4\n)\n\nprint(\"SGD варіанти створено\")\n",[5201,11627,11628,11634,11644,11654,11658,11671,11675,11680,11693,11697,11702,11725,11729,11734,11739,11744,11756,11767,11777,11781,11785,11790,11795,11800,11811,11821,11831,11835,11839],{"__ignoreMap":5304},[5308,11629,11630,11632],{"class":5310,"line":5311},[5308,11631,5315],{"class":5314},[5308,11633,5319],{"class":5318},[5308,11635,11636,11638,11640,11642],{"class":5310,"line":5322},[5308,11637,5315],{"class":5314},[5308,11639,9995],{"class":5318},[5308,11641,5613],{"class":5314},[5308,11643,10000],{"class":5318},[5308,11645,11646,11648,11650,11652],{"class":5310,"line":5329},[5308,11647,5315],{"class":5314},[5308,11649,5610],{"class":5318},[5308,11651,5613],{"class":5314},[5308,11653,5616],{"class":5318},[5308,11655,11656],{"class":5310,"line":5336},[5308,11657,5326],{"emptyLinePlaceholder":5325},[5308,11659,11660,11663,11665,11667,11669],{"class":5310,"line":5368},[5308,11661,11662],{"class":5318},"model = nn.Linear(",[5308,11664,5343],{"class":5342},[5308,11666,5346],{"class":5318},[5308,11668,5297],{"class":5342},[5308,11670,5365],{"class":5318},[5308,11672,11673],{"class":5310,"line":5386},[5308,11674,5326],{"emptyLinePlaceholder":5325},[5308,11676,11677],{"class":5310,"line":5408},[5308,11678,11679],{"class":5332},"# Базовий SGD\n",[5308,11681,11682,11685,11687,11689,11691],{"class":5310,"line":5426},[5308,11683,11684],{"class":5318},"optimizer = optim.SGD(model.parameters(), ",[5308,11686,10104],{"class":5354},[5308,11688,5358],{"class":5318},[5308,11690,7265],{"class":5342},[5308,11692,5365],{"class":5318},[5308,11694,11695],{"class":5310,"line":5431},[5308,11696,5326],{"emptyLinePlaceholder":5325},[5308,11698,11699],{"class":5310,"line":5437},[5308,11700,11701],{"class":5332},"# SGD з momentum\n",[5308,11703,11704,11707,11709,11711,11713,11715,11718,11720,11723],{"class":5310,"line":5456},[5308,11705,11706],{"class":5318},"optimizer_momentum = optim.SGD(model.parameters(), ",[5308,11708,10104],{"class":5354},[5308,11710,5358],{"class":5318},[5308,11712,7265],{"class":5342},[5308,11714,5346],{"class":5318},[5308,11716,11717],{"class":5354},"momentum",[5308,11719,5358],{"class":5318},[5308,11721,11722],{"class":5342},"0.9",[5308,11724,5365],{"class":5318},[5308,11726,11727],{"class":5310,"line":5462},[5308,11728,5326],{"emptyLinePlaceholder":5325},[5308,11730,11731],{"class":5310,"line":5468},[5308,11732,11733],{"class":5332},"# SGD з Nesterov momentum\n",[5308,11735,11736],{"class":5310,"line":5474},[5308,11737,11738],{"class":5318},"optimizer_nesterov = optim.SGD(\n",[5308,11740,11741],{"class":5310,"line":5483},[5308,11742,11743],{"class":5318},"    model.parameters(), \n",[5308,11745,11746,11749,11751,11753],{"class":5310,"line":5488},[5308,11747,11748],{"class":5354},"    lr",[5308,11750,5358],{"class":5318},[5308,11752,7265],{"class":5342},[5308,11754,11755],{"class":5318},", \n",[5308,11757,11758,11761,11763,11765],{"class":5310,"line":5503},[5308,11759,11760],{"class":5354},"    momentum",[5308,11762,5358],{"class":5318},[5308,11764,11722],{"class":5342},[5308,11766,11755],{"class":5318},[5308,11768,11769,11772,11774],{"class":5310,"line":5509},[5308,11770,11771],{"class":5354},"    nesterov",[5308,11773,5358],{"class":5318},[5308,11775,11776],{"class":5361},"True\n",[5308,11778,11779],{"class":5310,"line":5799},[5308,11780,5365],{"class":5318},[5308,11782,11783],{"class":5310,"line":6158},[5308,11784,5326],{"emptyLinePlaceholder":5325},[5308,11786,11787],{"class":5310,"line":6164},[5308,11788,11789],{"class":5332},"# SGD з weight decay (L2 regularization)\n",[5308,11791,11792],{"class":5310,"line":6194},[5308,11793,11794],{"class":5318},"optimizer_wd = optim.SGD(\n",[5308,11796,11797],{"class":5310,"line":6199},[5308,11798,11799],{"class":5318},"    model.parameters(),\n",[5308,11801,11802,11804,11806,11808],{"class":5310,"line":6205},[5308,11803,11748],{"class":5354},[5308,11805,5358],{"class":5318},[5308,11807,7265],{"class":5342},[5308,11809,11810],{"class":5318},",\n",[5308,11812,11813,11815,11817,11819],{"class":5310,"line":6223},[5308,11814,11760],{"class":5354},[5308,11816,5358],{"class":5318},[5308,11818,11722],{"class":5342},[5308,11820,11810],{"class":5318},[5308,11822,11823,11826,11828],{"class":5310,"line":6229},[5308,11824,11825],{"class":5354},"    weight_decay",[5308,11827,5358],{"class":5318},[5308,11829,11830],{"class":5342},"1e-4\n",[5308,11832,11833],{"class":5310,"line":6234},[5308,11834,5365],{"class":5318},[5308,11836,11837],{"class":5310,"line":6257},[5308,11838,5326],{"emptyLinePlaceholder":5325},[5308,11840,11841,11843,11845,11848],{"class":5310,"line":7788},[5308,11842,5512],{"class":5443},[5308,11844,5447],{"class":5318},[5308,11846,11847],{"class":5520},"\"SGD варіанти створено\"",[5308,11849,5365],{"class":5318},[5537,11851,11852],{"v-slot:output":5304},[5540,11853,11854,11867],{},[5543,11855,11856],{},[5546,11857,11858,11861,11864],{},[5549,11859,11860],{"align":5845},"Конфігурація SGD",[5549,11862,11863],{"align":5845},"Формула оновлення ваг",[5549,11865,11866],{"align":5845},"Поведінка збіжності",[5563,11868,11869,11885,11901],{},[5546,11870,11871,11879,11882],{},[5568,11872,11873],{"align":5845},[5227,11874,11875,11876,5869],{},"Чистий SGD (",[5201,11877,11878],{},"lr=0.01",[5568,11880,11881],{"align":5845},"$w_{t+1} = w_t - \\eta \\nabla L$",[5568,11883,11884],{"align":5845},"Повільна збіжність, коливання у вузьких ярах",[5546,11886,11887,11895,11898],{},[5568,11888,11889],{"align":5845},[5227,11890,11891,11892,5869],{},"SGD з Momentum (",[5201,11893,11894],{},"momentum=0.9",[5568,11896,11897],{"align":5845},"$v_{t+1} = \\gamma v_t + \\eta \\nabla L$",[5568,11899,11900],{"align":5845},"🚀 Накопичує інерцію, згладжує коливання",[5546,11902,11903,11908,11911],{},[5568,11904,11905],{"align":5845},[5227,11906,11907],{},"SGD з Nesterov Momentum",[5568,11909,11910],{"align":5845},"Оцінює градієнт «на крок уперед»",[5568,11912,11913],{"align":5845},"⚡ Найкраща точність серед варіантів SGD",[10697,11915],{"tex":11916},"\\theta_{t+1} = \\theta_t - \\eta \\nabla L(\\theta_t)",[5266,11918,11919,11920,11923,11924,11927],{},"Де ",[10697,11921],{"tex":11922,":inline":10700},"\\eta"," — learning rate, ",[10697,11925],{"tex":11926,":inline":10700},"\\nabla L"," — градієнт функції втрат.",[5266,11929,11930],{},[5227,11931,11932],{},"З momentum:",[10697,11934],{"tex":11935},"v_{t+1} = \\beta v_t + \\nabla L(\\theta_t)",[10697,11937],{"tex":11938},"\\theta_{t+1} = \\theta_t - \\eta v_{t+1}",[5886,11940,11941],{},[5266,11942,11943,11945],{},[5227,11944,5892],{}," SGD без momentum — це як катати кульку по горбистій поверхні, де вона зупиняється на кожній нерівності. SGD з momentum — кулька набирає інерцію і пролітає дрібні ямки, швидше досягаючи глибокого мінімуму.",[6335,11947,11949],{"id":11948},"adam-та-adamw","Adam та AdamW",[5266,11951,11952],{},"Найпопулярніші оптимізатори для глибоких мереж:",[5283,11954,11956],{"title":11955},"adam_optimizer.ipynb",[5287,11957,11958,12183],{"execution-count":5297},[5299,11959,11961],{"className":5301,"code":11960,"language":5303,"meta":5304,"style":5304},"import torch.optim as optim\n\nmodel = nn.Sequential(nn.Linear(10, 20), nn.ReLU(), nn.Linear(20, 1))\n\n# Adam — адаптивний learning rate\noptimizer_adam = optim.Adam(model.parameters(), lr=0.001)\n\n# AdamW — Adam з decoupled weight decay (кращий)\noptimizer_adamw = optim.AdamW(\n    model.parameters(),\n    lr=0.001,\n    betas=(0.9, 0.999),      # коефіцієнти для моментів\n    eps=1e-8,                 # для стабільності\n    weight_decay=0.01         # L2 regularization\n)\n\nprint(f\"Adam параметрів: {len(list(optimizer_adam.param_groups[0]['params']))}\")\nprint(f\"AdamW параметрів: {len(list(optimizer_adamw.param_groups[0]['params']))}\")\n",[5201,11962,11963,11973,11977,12000,12004,12009,12022,12026,12031,12036,12040,12050,12071,12087,12098,12102,12106,12147],{"__ignoreMap":5304},[5308,11964,11965,11967,11969,11971],{"class":5310,"line":5311},[5308,11966,5315],{"class":5314},[5308,11968,9995],{"class":5318},[5308,11970,5613],{"class":5314},[5308,11972,10000],{"class":5318},[5308,11974,11975],{"class":5310,"line":5322},[5308,11976,5326],{"emptyLinePlaceholder":5325},[5308,11978,11979,11982,11984,11986,11988,11991,11993,11995,11997],{"class":5310,"line":5329},[5308,11980,11981],{"class":5318},"model = nn.Sequential(nn.Linear(",[5308,11983,5343],{"class":5342},[5308,11985,5346],{"class":5318},[5308,11987,5349],{"class":5342},[5308,11989,11990],{"class":5318},"), nn.ReLU(), nn.Linear(",[5308,11992,5349],{"class":5342},[5308,11994,5346],{"class":5318},[5308,11996,5297],{"class":5342},[5308,11998,11999],{"class":5318},"))\n",[5308,12001,12002],{"class":5310,"line":5336},[5308,12003,5326],{"emptyLinePlaceholder":5325},[5308,12005,12006],{"class":5310,"line":5368},[5308,12007,12008],{"class":5332},"# Adam — адаптивний learning rate\n",[5308,12010,12011,12014,12016,12018,12020],{"class":5310,"line":5386},[5308,12012,12013],{"class":5318},"optimizer_adam = optim.Adam(model.parameters(), ",[5308,12015,10104],{"class":5354},[5308,12017,5358],{"class":5318},[5308,12019,10109],{"class":5342},[5308,12021,5365],{"class":5318},[5308,12023,12024],{"class":5310,"line":5408},[5308,12025,5326],{"emptyLinePlaceholder":5325},[5308,12027,12028],{"class":5310,"line":5426},[5308,12029,12030],{"class":5332},"# AdamW — Adam з decoupled weight decay (кращий)\n",[5308,12032,12033],{"class":5310,"line":5431},[5308,12034,12035],{"class":5318},"optimizer_adamw = optim.AdamW(\n",[5308,12037,12038],{"class":5310,"line":5437},[5308,12039,11799],{"class":5318},[5308,12041,12042,12044,12046,12048],{"class":5310,"line":5456},[5308,12043,11748],{"class":5354},[5308,12045,5358],{"class":5318},[5308,12047,10109],{"class":5342},[5308,12049,11810],{"class":5318},[5308,12051,12052,12055,12058,12060,12062,12065,12068],{"class":5310,"line":5462},[5308,12053,12054],{"class":5354},"    betas",[5308,12056,12057],{"class":5318},"=(",[5308,12059,11722],{"class":5342},[5308,12061,5346],{"class":5318},[5308,12063,12064],{"class":5342},"0.999",[5308,12066,12067],{"class":5318},"),      ",[5308,12069,12070],{"class":5332},"# коефіцієнти для моментів\n",[5308,12072,12073,12076,12078,12081,12084],{"class":5310,"line":5468},[5308,12074,12075],{"class":5354},"    eps",[5308,12077,5358],{"class":5318},[5308,12079,12080],{"class":5342},"1e-8",[5308,12082,12083],{"class":5318},",                 ",[5308,12085,12086],{"class":5332},"# для стабільності\n",[5308,12088,12089,12091,12093,12095],{"class":5310,"line":5474},[5308,12090,11825],{"class":5354},[5308,12092,5358],{"class":5318},[5308,12094,7265],{"class":5342},[5308,12096,12097],{"class":5332},"         # L2 regularization\n",[5308,12099,12100],{"class":5310,"line":5483},[5308,12101,5365],{"class":5318},[5308,12103,12104],{"class":5310,"line":5488},[5308,12105,5326],{"emptyLinePlaceholder":5325},[5308,12107,12108,12110,12112,12114,12117,12119,12122,12124,12127,12130,12132,12135,12138,12141,12143,12145],{"class":5310,"line":5503},[5308,12109,5512],{"class":5443},[5308,12111,5447],{"class":5318},[5308,12113,5517],{"class":5361},[5308,12115,12116],{"class":5520},"\"Adam параметрів: ",[5308,12118,5524],{"class":5361},[5308,12120,12121],{"class":5443},"len",[5308,12123,5447],{"class":5318},[5308,12125,12126],{"class":5628},"list",[5308,12128,12129],{"class":5318},"(optimizer_adam.param_groups[",[5308,12131,6704],{"class":5342},[5308,12133,12134],{"class":5318},"][",[5308,12136,12137],{"class":5520},"'params'",[5308,12139,12140],{"class":5318},"]))",[5308,12142,5530],{"class":5361},[5308,12144,5533],{"class":5520},[5308,12146,5365],{"class":5318},[5308,12148,12149,12151,12153,12155,12158,12160,12162,12164,12166,12169,12171,12173,12175,12177,12179,12181],{"class":5310,"line":5509},[5308,12150,5512],{"class":5443},[5308,12152,5447],{"class":5318},[5308,12154,5517],{"class":5361},[5308,12156,12157],{"class":5520},"\"AdamW параметрів: ",[5308,12159,5524],{"class":5361},[5308,12161,12121],{"class":5443},[5308,12163,5447],{"class":5318},[5308,12165,12126],{"class":5628},[5308,12167,12168],{"class":5318},"(optimizer_adamw.param_groups[",[5308,12170,6704],{"class":5342},[5308,12172,12134],{"class":5318},[5308,12174,12137],{"class":5520},[5308,12176,12140],{"class":5318},[5308,12178,5530],{"class":5361},[5308,12180,5533],{"class":5520},[5308,12182,5365],{"class":5318},[5537,12184,12185],{"v-slot:output":5304},[5540,12186,12187,12203],{},[5543,12188,12189],{},[5546,12190,12191,12194,12197,12200],{},[5549,12192,12193],{"align":5845},"Оптимізатор",[5549,12195,12196],{"align":5845},"Weight Decay реалізація",[5549,12198,12199],{"align":5551},"Кількість оптимізованих параметрів",[5549,12201,12202],{"align":5845},"Рекомендація до застосування",[5563,12204,12205,12225],{},[5546,12206,12207,12214,12217,12222],{},[5568,12208,12209],{"align":5845},[5227,12210,12211],{},[5201,12212,12213],{},"optim.Adam",[5568,12215,12216],{"align":5845},"Додає $L_2$-штраф до градієнта",[5568,12218,12219,12221],{"align":5551},[5201,12220,10292],{}," тензори ваг\u002Fзміщень",[5568,12223,12224],{"align":5845},"Базовий універсальний вибір для швидкого старту",[5546,12226,12227,12234,12237,12241],{},[5568,12228,12229],{"align":5845},[5227,12230,12231],{},[5201,12232,12233],{},"optim.AdamW",[5568,12235,12236],{"align":5845},"Відокремлений decay безпосередньо до ваг",[5568,12238,12239,12221],{"align":5551},[5201,12240,10292],{},[5568,12242,12243,12244,12247],{"align":5845},"🏆 ",[5227,12245,12246],{},"Стандарт індустрії"," (краща генералізація)",[5186,12249,12250,12283],{},[5189,12251,12253,12257,12271,12275],{"icon":92,"title":12252},"🚀 Adam",[5266,12254,12255],{},[5227,12256,10705],{},[5194,12258,12259,12262,12265,12268],{},[5197,12260,12261],{},"Адаптивний learning rate для кожного параметра",[5197,12263,12264],{},"Швидка збіжність",[5197,12266,12267],{},"Мало гіперпараметрів для налаштування",[5197,12269,12270],{},"Стандартний вибір для більшості задач",[5266,12272,12273],{},[5227,12274,10721],{},[5194,12276,12277,12280],{},[5197,12278,12279],{},"Може погано генералізувати на деяких задачах",[5197,12281,12282],{},"Потребує більше пам'яті (зберігає моменти)",[5189,12284,12286,12291,12302,12307],{"icon":793,"title":12285},"⚡ AdamW",[5266,12287,12288],{},[5227,12289,12290],{},"Відмінність від Adam:",[5194,12292,12293,12296,12299],{},[5197,12294,12295],{},"Decoupled weight decay (правильна L2 regularization)",[5197,12297,12298],{},"Краща генералізація",[5197,12300,12301],{},"Рекомендований для Transformers та великих моделей",[5266,12303,12304],{},[5227,12305,12306],{},"Коли використовувати:",[5194,12308,12309,12312,12315],{},[5197,12310,12311],{},"За замовчуванням замість Adam",[5197,12313,12314],{},"NLP задачі (BERT, GPT)",[5197,12316,12317],{},"Computer Vision (ViT)",[6335,12319,12321],{"id":12320},"порівняльна-таблиця-оптимізаторів","Порівняльна таблиця оптимізаторів",[5540,12323,12324,12342],{},[5543,12325,12326],{},[5546,12327,12328,12330,12333,12336,12339],{},[5549,12329,12193],{"align":5845},[5549,12331,12332],{"align":5845},"Learning Rate",[5549,12334,12335],{"align":5845},"Швидкість збіжності",[5549,12337,12338],{"align":5845},"Генералізація",[5549,12340,12341],{"align":5845},"Використання",[5563,12343,12344,12361,12377,12394,12408],{},[5546,12345,12346,12349,12352,12355,12358],{},[5568,12347,12348],{"align":5845},"SGD",[5568,12350,12351],{"align":5845},"Низький (0.01-0.1)",[5568,12353,12354],{"align":5845},"Повільна",[5568,12356,12357],{"align":5845},"Відмінна",[5568,12359,12360],{"align":5845},"CV (ResNet, VGG)",[5546,12362,12363,12366,12369,12372,12374],{},[5568,12364,12365],{"align":5845},"SGD + Momentum",[5568,12367,12368],{"align":5845},"Середній (0.01-0.1)",[5568,12370,12371],{"align":5845},"Середня",[5568,12373,12357],{"align":5845},[5568,12375,12376],{"align":5845},"Стандарт для CV",[5546,12378,12379,12382,12385,12388,12391],{},[5568,12380,12381],{"align":5845},"Adam",[5568,12383,12384],{"align":5845},"Високий (0.001)",[5568,12386,12387],{"align":5845},"Швидка",[5568,12389,12390],{"align":5845},"Добра",[5568,12392,12393],{"align":5845},"Універсальний",[5546,12395,12396,12399,12401,12403,12405],{},[5568,12397,12398],{"align":5845},"AdamW",[5568,12400,12384],{"align":5845},[5568,12402,12387],{"align":5845},[5568,12404,12357],{"align":5845},[5568,12406,12407],{"align":5845},"NLP, Transformers",[5546,12409,12410,12413,12416,12418,12420],{},[5568,12411,12412],{"align":5845},"RMSprop",[5568,12414,12415],{"align":5845},"Середній (0.001)",[5568,12417,12371],{"align":5845},[5568,12419,12390],{"align":5845},[5568,12421,12422],{"align":5845},"RNN, GAN",[5898,12424,12425,12430],{},[5266,12426,12427],{},[5227,12428,12429],{},"Практичні рекомендації:",[5954,12431,12432,12438,12444,12450],{},[5197,12433,12434,12437],{},[5227,12435,12436],{},"Початок проєкту:"," Adam (lr=0.001) — швидкий старт",[5197,12439,12440,12443],{},[5227,12441,12442],{},"Fine-tuning:"," AdamW (lr=1e-4, wd=0.01) — краща генералізація",[5197,12445,12446,12449],{},[5227,12447,12448],{},"Computer Vision:"," SGD з momentum (lr=0.01, momentum=0.9)",[5197,12451,12452,12455],{},[5227,12453,12454],{},"NLP\u002FTransformers:"," AdamW (lr=5e-5, wd=0.01)",[5291,12457,12459],{"id":12458},"train-vs-validation-loop","Train vs Validation Loop",[5266,12461,12462],{},"Правильне розділення на тренування та валідацію критично важливе для запобігання перенавчанню.",[6335,12464,12466],{"id":12465},"режими-моделі-train-vs-eval","Режими моделі: train() vs eval()",[5283,12468,12470],{"title":12469},"train_eval_modes.ipynb",[5287,12471,12472,12730],{"execution-count":5297},[5299,12473,12475],{"className":5301,"code":12474,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\nmodel = nn.Sequential(\n    nn.Linear(10, 20),\n    nn.BatchNorm1d(20),\n    nn.ReLU(),\n    nn.Dropout(0.5),\n    nn.Linear(20, 1)\n)\n\nX = torch.randn(5, 10)\n\n# Режим тренування\nmodel.train()\noutput_train = model(X)\nprint(\"Режим train():\")\nprint(f\"  Dropout активний: ~50% нейронів вимкнуто\")\nprint(f\"  BatchNorm використовує статистики батча\")\nprint(f\"  Вихід: {output_train.T}\\n\")\n\n# Режим evaluation\nmodel.eval()\nwith torch.no_grad():\n    output_eval = model(X)\nprint(\"Режим eval():\")\nprint(f\"  Dropout вимкнений: всі нейрони активні\")\nprint(f\"  BatchNorm використовує збережені статистики\")\nprint(f\"  Вихід: {output_eval.T}\")\n",[5201,12476,12477,12483,12493,12497,12501,12513,12521,12525,12533,12545,12549,12553,12565,12569,12574,12579,12584,12595,12608,12621,12645,12649,12654,12659,12667,12672,12683,12696,12709],{"__ignoreMap":5304},[5308,12478,12479,12481],{"class":5310,"line":5311},[5308,12480,5315],{"class":5314},[5308,12482,5319],{"class":5318},[5308,12484,12485,12487,12489,12491],{"class":5310,"line":5322},[5308,12486,5315],{"class":5314},[5308,12488,5610],{"class":5318},[5308,12490,5613],{"class":5314},[5308,12492,5616],{"class":5318},[5308,12494,12495],{"class":5310,"line":5329},[5308,12496,5326],{"emptyLinePlaceholder":5325},[5308,12498,12499],{"class":5310,"line":5336},[5308,12500,8078],{"class":5318},[5308,12502,12503,12505,12507,12509,12511],{"class":5310,"line":5368},[5308,12504,8083],{"class":5318},[5308,12506,5343],{"class":5342},[5308,12508,5346],{"class":5318},[5308,12510,5349],{"class":5342},[5308,12512,8092],{"class":5318},[5308,12514,12515,12517,12519],{"class":5310,"line":5386},[5308,12516,8097],{"class":5318},[5308,12518,5349],{"class":5342},[5308,12520,8092],{"class":5318},[5308,12522,12523],{"class":5310,"line":5408},[5308,12524,8106],{"class":5318},[5308,12526,12527,12529,12531],{"class":5310,"line":5426},[5308,12528,8111],{"class":5318},[5308,12530,11177],{"class":5342},[5308,12532,8092],{"class":5318},[5308,12534,12535,12537,12539,12541,12543],{"class":5310,"line":5431},[5308,12536,8083],{"class":5318},[5308,12538,5349],{"class":5342},[5308,12540,5346],{"class":5318},[5308,12542,5297],{"class":5342},[5308,12544,5365],{"class":5318},[5308,12546,12547],{"class":5310,"line":5437},[5308,12548,5365],{"class":5318},[5308,12550,12551],{"class":5310,"line":5456},[5308,12552,5326],{"emptyLinePlaceholder":5325},[5308,12554,12555,12557,12559,12561,12563],{"class":5310,"line":5462},[5308,12556,5491],{"class":5318},[5308,12558,6210],{"class":5342},[5308,12560,5346],{"class":5318},[5308,12562,5343],{"class":5342},[5308,12564,5365],{"class":5318},[5308,12566,12567],{"class":5310,"line":5468},[5308,12568,5326],{"emptyLinePlaceholder":5325},[5308,12570,12571],{"class":5310,"line":5474},[5308,12572,12573],{"class":5332},"# Режим тренування\n",[5308,12575,12576],{"class":5310,"line":5483},[5308,12577,12578],{"class":5318},"model.train()\n",[5308,12580,12581],{"class":5310,"line":5488},[5308,12582,12583],{"class":5318},"output_train = model(X)\n",[5308,12585,12586,12588,12590,12593],{"class":5310,"line":5503},[5308,12587,5512],{"class":5443},[5308,12589,5447],{"class":5318},[5308,12591,12592],{"class":5520},"\"Режим train():\"",[5308,12594,5365],{"class":5318},[5308,12596,12597,12599,12601,12603,12606],{"class":5310,"line":5509},[5308,12598,5512],{"class":5443},[5308,12600,5447],{"class":5318},[5308,12602,5517],{"class":5361},[5308,12604,12605],{"class":5520},"\"  Dropout активний: ~50% нейронів вимкнуто\"",[5308,12607,5365],{"class":5318},[5308,12609,12610,12612,12614,12616,12619],{"class":5310,"line":5799},[5308,12611,5512],{"class":5443},[5308,12613,5447],{"class":5318},[5308,12615,5517],{"class":5361},[5308,12617,12618],{"class":5520},"\"  BatchNorm використовує статистики батча\"",[5308,12620,5365],{"class":5318},[5308,12622,12623,12625,12627,12629,12632,12634,12637,12639,12641,12643],{"class":5310,"line":6158},[5308,12624,5512],{"class":5443},[5308,12626,5447],{"class":5318},[5308,12628,5517],{"class":5361},[5308,12630,12631],{"class":5520},"\"  Вихід: ",[5308,12633,5524],{"class":5361},[5308,12635,12636],{"class":5318},"output_train.T",[5308,12638,5530],{"class":5361},[5308,12640,8195],{"class":8194},[5308,12642,5533],{"class":5520},[5308,12644,5365],{"class":5318},[5308,12646,12647],{"class":5310,"line":6164},[5308,12648,5326],{"emptyLinePlaceholder":5325},[5308,12650,12651],{"class":5310,"line":6194},[5308,12652,12653],{"class":5332},"# Режим evaluation\n",[5308,12655,12656],{"class":5310,"line":6199},[5308,12657,12658],{"class":5318},"model.eval()\n",[5308,12660,12661,12664],{"class":5310,"line":6205},[5308,12662,12663],{"class":5314},"with",[5308,12665,12666],{"class":5318}," torch.no_grad():\n",[5308,12668,12669],{"class":5310,"line":6223},[5308,12670,12671],{"class":5318},"    output_eval = model(X)\n",[5308,12673,12674,12676,12678,12681],{"class":5310,"line":6229},[5308,12675,5512],{"class":5443},[5308,12677,5447],{"class":5318},[5308,12679,12680],{"class":5520},"\"Режим eval():\"",[5308,12682,5365],{"class":5318},[5308,12684,12685,12687,12689,12691,12694],{"class":5310,"line":6234},[5308,12686,5512],{"class":5443},[5308,12688,5447],{"class":5318},[5308,12690,5517],{"class":5361},[5308,12692,12693],{"class":5520},"\"  Dropout вимкнений: всі нейрони активні\"",[5308,12695,5365],{"class":5318},[5308,12697,12698,12700,12702,12704,12707],{"class":5310,"line":6257},[5308,12699,5512],{"class":5443},[5308,12701,5447],{"class":5318},[5308,12703,5517],{"class":5361},[5308,12705,12706],{"class":5520},"\"  BatchNorm використовує збережені статистики\"",[5308,12708,5365],{"class":5318},[5308,12710,12711,12713,12715,12717,12719,12721,12724,12726,12728],{"class":5310,"line":7788},[5308,12712,5512],{"class":5443},[5308,12714,5447],{"class":5318},[5308,12716,5517],{"class":5361},[5308,12718,12631],{"class":5520},[5308,12720,5524],{"class":5361},[5308,12722,12723],{"class":5318},"output_eval.T",[5308,12725,5530],{"class":5361},[5308,12727,5533],{"class":5520},[5308,12729,5365],{"class":5318},[5537,12731,12732],{"v-slot:output":5304},[5540,12733,12734,12755],{},[5543,12735,12736],{},[5546,12737,12738,12741,12747,12752],{},[5549,12739,12740],{"align":5845},"Режим моделі",[5549,12742,12743,12744],{"align":5845},"Шар ",[5201,12745,12746],{},"Dropout",[5549,12748,12743,12749],{"align":5845},[5201,12750,12751],{},"BatchNorm",[5549,12753,12754],{"align":5845},"Граф автограду",[5563,12756,12757,12775],{},[5546,12758,12759,12766,12769,12772],{},[5568,12760,12761],{"align":5845},[5227,12762,12763],{},[5201,12764,12765],{},"model.train()",[5568,12767,12768],{"align":5845},"✅ Активний (вимикає $\\approx 50%$ нейронів)",[5568,12770,12771],{"align":5845},"Оновлює біжучі середні $\\mu, \\sigma$",[5568,12773,12774],{"align":5845},"Будується для backward pass",[5546,12776,12777,12784,12787,12790],{},[5568,12778,12779],{"align":5845},[5227,12780,12781],{},[5201,12782,12783],{},"model.eval()",[5568,12785,12786],{"align":5845},"❌ Вимкнений (масштабує ваги на $1-p$)",[5568,12788,12789],{"align":5845},"Заморожує статистику батчу",[5568,12791,12792,12793],{"align":5845},"Рекомендується поєднувати з ",[5201,12794,12795],{},"torch.no_grad()",[10347,12797,12798,12806,12817,12822],{},[5266,12799,12800,10354,12803,12805],{},[5227,12801,12802],{},"Критична помилка:",[5201,12804,12783],{}," перед валідацією або inference. Це призведе до:",[5194,12807,12808,12811,12814],{},[5197,12809,12810],{},"Dropout випадково вимикатиме нейрони (нестабільні передбачення)",[5197,12812,12813],{},"BatchNorm використовуватиме статистики маленького валідаційного батча",[5197,12815,12816],{},"Неправильна оцінка якості моделі",[5266,12818,12819],{},[5227,12820,12821],{},"Завжди:",[5299,12823,12825],{"className":5301,"code":12824,"language":5303,"meta":5304,"style":5304},"model.train()  # перед тренуванням\nmodel.eval()   # перед валідацією\u002Finference\n",[5201,12826,12827,12835],{"__ignoreMap":5304},[5308,12828,12829,12832],{"class":5310,"line":5311},[5308,12830,12831],{"class":5318},"model.train()  ",[5308,12833,12834],{"class":5332},"# перед тренуванням\n",[5308,12836,12837,12840],{"class":5310,"line":5322},[5308,12838,12839],{"class":5318},"model.eval()   ",[5308,12841,12842],{"class":5332},"# перед валідацією\u002Finference\n",[6335,12844,12846],{"id":12845},"повний-тренувальний-цикл-з-валідацією","Повний тренувальний цикл з валідацією",[5283,12848,12850],{"title":12849},"full_training_loop.ipynb",[5287,12851,12852,13512],{"execution-count":5297},[5299,12853,12855],{"className":5301,"code":12854,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\nimport torch.optim as optim\nfrom torch.utils.data import TensorDataset, DataLoader\n\n# Генеруємо синтетичні дані\ntorch.manual_seed(42)\nX_train = torch.randn(800, 10)\ny_train = (X_train.sum(dim=1, keepdim=True) > 0).float()\n\nX_val = torch.randn(200, 10)\ny_val = (X_val.sum(dim=1, keepdim=True) > 0).float()\n\n# DataLoader для батчів\ntrain_dataset = TensorDataset(X_train, y_train)\ntrain_loader = DataLoader(train_dataset, batch_size=32, shuffle=True)\n\nval_dataset = TensorDataset(X_val, y_val)\nval_loader = DataLoader(val_dataset, batch_size=32, shuffle=False)\n\n# Модель\nmodel = nn.Sequential(\n    nn.Linear(10, 20),\n    nn.ReLU(),\n    nn.Dropout(0.3),\n    nn.Linear(20, 1)\n)\n\ncriterion = nn.BCEWithLogitsLoss()\noptimizer = optim.Adam(model.parameters(), lr=0.001)\n\n# Тренування\nnum_epochs = 10\n\nfor epoch in range(num_epochs):\n    # ========== TRAINING ==========\n    model.train()\n    train_loss = 0.0\n    \n    for batch_X, batch_y in train_loader:\n        optimizer.zero_grad()\n        predictions = model(batch_X)\n        loss = criterion(predictions, batch_y)\n        loss.backward()\n        optimizer.step()\n        \n        train_loss += loss.item()\n    \n    train_loss \u002F= len(train_loader)\n    \n    # ========== VALIDATION ==========\n    model.eval()\n    val_loss = 0.0\n    correct = 0\n    total = 0\n    \n    with torch.no_grad():\n        for batch_X, batch_y in val_loader:\n            predictions = model(batch_X)\n            loss = criterion(predictions, batch_y)\n            val_loss += loss.item()\n            \n            # Обчислення accuracy\n            predicted_classes = (torch.sigmoid(predictions) > 0.5).float()\n            correct += (predicted_classes == batch_y).sum().item()\n            total += batch_y.size(0)\n    \n    val_loss \u002F= len(val_loader)\n    val_accuracy = correct \u002F total\n    \n    print(f\"Епоха {epoch+1}\u002F{num_epochs}\")\n    print(f\"  Train Loss: {train_loss:.4f}\")\n    print(f\"  Val Loss: {val_loss:.4f}, Val Accuracy: {val_accuracy:.2%}\\n\")\n",[5201,12856,12857,12863,12873,12883,12896,12900,12905,12915,12929,12957,12961,12975,13000,13004,13009,13014,13037,13041,13046,13068,13072,13077,13081,13093,13097,13105,13117,13121,13125,13129,13141,13145,13150,13158,13162,13177,13182,13187,13195,13199,13212,13218,13224,13230,13236,13242,13247,13253,13258,13269,13274,13280,13286,13294,13303,13311,13316,13324,13336,13342,13348,13354,13360,13366,13376,13382,13392,13397,13408,13414,13419,13454,13477],{"__ignoreMap":5304},[5308,12858,12859,12861],{"class":5310,"line":5311},[5308,12860,5315],{"class":5314},[5308,12862,5319],{"class":5318},[5308,12864,12865,12867,12869,12871],{"class":5310,"line":5322},[5308,12866,5315],{"class":5314},[5308,12868,5610],{"class":5318},[5308,12870,5613],{"class":5314},[5308,12872,5616],{"class":5318},[5308,12874,12875,12877,12879,12881],{"class":5310,"line":5329},[5308,12876,5315],{"class":5314},[5308,12878,9995],{"class":5318},[5308,12880,5613],{"class":5314},[5308,12882,10000],{"class":5318},[5308,12884,12885,12888,12891,12893],{"class":5310,"line":5336},[5308,12886,12887],{"class":5314},"from",[5308,12889,12890],{"class":5318}," torch.utils.data ",[5308,12892,5315],{"class":5314},[5308,12894,12895],{"class":5318}," TensorDataset, DataLoader\n",[5308,12897,12898],{"class":5310,"line":5368},[5308,12899,5326],{"emptyLinePlaceholder":5325},[5308,12901,12902],{"class":5310,"line":5386},[5308,12903,12904],{"class":5332},"# Генеруємо синтетичні дані\n",[5308,12906,12907,12910,12913],{"class":5310,"line":5408},[5308,12908,12909],{"class":5318},"torch.manual_seed(",[5308,12911,12912],{"class":5342},"42",[5308,12914,5365],{"class":5318},[5308,12916,12917,12920,12923,12925,12927],{"class":5310,"line":5426},[5308,12918,12919],{"class":5318},"X_train = torch.randn(",[5308,12921,12922],{"class":5342},"800",[5308,12924,5346],{"class":5318},[5308,12926,5343],{"class":5342},[5308,12928,5365],{"class":5318},[5308,12930,12931,12934,12936,12938,12940,12942,12945,12947,12949,12952,12954],{"class":5310,"line":5431},[5308,12932,12933],{"class":5318},"y_train = (X_train.sum(",[5308,12935,8989],{"class":5354},[5308,12937,5358],{"class":5318},[5308,12939,5297],{"class":5342},[5308,12941,5346],{"class":5318},[5308,12943,12944],{"class":5354},"keepdim",[5308,12946,5358],{"class":5318},[5308,12948,5362],{"class":5361},[5308,12950,12951],{"class":5318},") > ",[5308,12953,6704],{"class":5342},[5308,12955,12956],{"class":5318},").float()\n",[5308,12958,12959],{"class":5310,"line":5437},[5308,12960,5326],{"emptyLinePlaceholder":5325},[5308,12962,12963,12966,12969,12971,12973],{"class":5310,"line":5456},[5308,12964,12965],{"class":5318},"X_val = torch.randn(",[5308,12967,12968],{"class":5342},"200",[5308,12970,5346],{"class":5318},[5308,12972,5343],{"class":5342},[5308,12974,5365],{"class":5318},[5308,12976,12977,12980,12982,12984,12986,12988,12990,12992,12994,12996,12998],{"class":5310,"line":5462},[5308,12978,12979],{"class":5318},"y_val = (X_val.sum(",[5308,12981,8989],{"class":5354},[5308,12983,5358],{"class":5318},[5308,12985,5297],{"class":5342},[5308,12987,5346],{"class":5318},[5308,12989,12944],{"class":5354},[5308,12991,5358],{"class":5318},[5308,12993,5362],{"class":5361},[5308,12995,12951],{"class":5318},[5308,12997,6704],{"class":5342},[5308,12999,12956],{"class":5318},[5308,13001,13002],{"class":5310,"line":5468},[5308,13003,5326],{"emptyLinePlaceholder":5325},[5308,13005,13006],{"class":5310,"line":5474},[5308,13007,13008],{"class":5332},"# DataLoader для батчів\n",[5308,13010,13011],{"class":5310,"line":5483},[5308,13012,13013],{"class":5318},"train_dataset = TensorDataset(X_train, y_train)\n",[5308,13015,13016,13019,13022,13024,13026,13028,13031,13033,13035],{"class":5310,"line":5488},[5308,13017,13018],{"class":5318},"train_loader = DataLoader(train_dataset, ",[5308,13020,13021],{"class":5354},"batch_size",[5308,13023,5358],{"class":5318},[5308,13025,5494],{"class":5342},[5308,13027,5346],{"class":5318},[5308,13029,13030],{"class":5354},"shuffle",[5308,13032,5358],{"class":5318},[5308,13034,5362],{"class":5361},[5308,13036,5365],{"class":5318},[5308,13038,13039],{"class":5310,"line":5503},[5308,13040,5326],{"emptyLinePlaceholder":5325},[5308,13042,13043],{"class":5310,"line":5509},[5308,13044,13045],{"class":5318},"val_dataset = TensorDataset(X_val, y_val)\n",[5308,13047,13048,13051,13053,13055,13057,13059,13061,13063,13066],{"class":5310,"line":5799},[5308,13049,13050],{"class":5318},"val_loader = DataLoader(val_dataset, ",[5308,13052,13021],{"class":5354},[5308,13054,5358],{"class":5318},[5308,13056,5494],{"class":5342},[5308,13058,5346],{"class":5318},[5308,13060,13030],{"class":5354},[5308,13062,5358],{"class":5318},[5308,13064,13065],{"class":5361},"False",[5308,13067,5365],{"class":5318},[5308,13069,13070],{"class":5310,"line":6158},[5308,13071,5326],{"emptyLinePlaceholder":5325},[5308,13073,13074],{"class":5310,"line":6164},[5308,13075,13076],{"class":5332},"# Модель\n",[5308,13078,13079],{"class":5310,"line":6194},[5308,13080,8078],{"class":5318},[5308,13082,13083,13085,13087,13089,13091],{"class":5310,"line":6199},[5308,13084,8083],{"class":5318},[5308,13086,5343],{"class":5342},[5308,13088,5346],{"class":5318},[5308,13090,5349],{"class":5342},[5308,13092,8092],{"class":5318},[5308,13094,13095],{"class":5310,"line":6205},[5308,13096,8106],{"class":5318},[5308,13098,13099,13101,13103],{"class":5310,"line":6223},[5308,13100,8111],{"class":5318},[5308,13102,7606],{"class":5342},[5308,13104,8092],{"class":5318},[5308,13106,13107,13109,13111,13113,13115],{"class":5310,"line":6229},[5308,13108,8083],{"class":5318},[5308,13110,5349],{"class":5342},[5308,13112,5346],{"class":5318},[5308,13114,5297],{"class":5342},[5308,13116,5365],{"class":5318},[5308,13118,13119],{"class":5310,"line":6234},[5308,13120,5365],{"class":5318},[5308,13122,13123],{"class":5310,"line":6257},[5308,13124,5326],{"emptyLinePlaceholder":5325},[5308,13126,13127],{"class":5310,"line":7788},[5308,13128,10880],{"class":5318},[5308,13130,13131,13133,13135,13137,13139],{"class":5310,"line":7797},[5308,13132,10101],{"class":5318},[5308,13134,10104],{"class":5354},[5308,13136,5358],{"class":5318},[5308,13138,10109],{"class":5342},[5308,13140,5365],{"class":5318},[5308,13142,13143],{"class":5310,"line":7807},[5308,13144,5326],{"emptyLinePlaceholder":5325},[5308,13146,13147],{"class":5310,"line":7812},[5308,13148,13149],{"class":5332},"# Тренування\n",[5308,13151,13152,13155],{"class":5310,"line":7822},[5308,13153,13154],{"class":5318},"num_epochs = ",[5308,13156,13157],{"class":5342},"10\n",[5308,13159,13160],{"class":5310,"line":7827},[5308,13161,5326],{"emptyLinePlaceholder":5325},[5308,13163,13164,13166,13169,13171,13174],{"class":5310,"line":7833},[5308,13165,5819],{"class":5314},[5308,13167,13168],{"class":5318}," epoch ",[5308,13170,5825],{"class":5314},[5308,13172,13173],{"class":5443}," range",[5308,13175,13176],{"class":5318},"(num_epochs):\n",[5308,13178,13179],{"class":5310,"line":7843},[5308,13180,13181],{"class":5332},"    # ========== TRAINING ==========\n",[5308,13183,13184],{"class":5310,"line":7850},[5308,13185,13186],{"class":5318},"    model.train()\n",[5308,13188,13189,13192],{"class":5310,"line":7855},[5308,13190,13191],{"class":5318},"    train_loss = ",[5308,13193,13194],{"class":5342},"0.0\n",[5308,13196,13197],{"class":5310,"line":7892},[5308,13198,5707],{"class":5318},[5308,13200,13202,13204,13207,13209],{"class":5310,"line":13201},40,[5308,13203,9406],{"class":5314},[5308,13205,13206],{"class":5318}," batch_X, batch_y ",[5308,13208,5825],{"class":5314},[5308,13210,13211],{"class":5318}," train_loader:\n",[5308,13213,13215],{"class":5310,"line":13214},41,[5308,13216,13217],{"class":5318},"        optimizer.zero_grad()\n",[5308,13219,13221],{"class":5310,"line":13220},42,[5308,13222,13223],{"class":5318},"        predictions = model(batch_X)\n",[5308,13225,13227],{"class":5310,"line":13226},43,[5308,13228,13229],{"class":5318},"        loss = criterion(predictions, batch_y)\n",[5308,13231,13233],{"class":5310,"line":13232},44,[5308,13234,13235],{"class":5318},"        loss.backward()\n",[5308,13237,13239],{"class":5310,"line":13238},45,[5308,13240,13241],{"class":5318},"        optimizer.step()\n",[5308,13243,13245],{"class":5310,"line":13244},46,[5308,13246,6064],{"class":5318},[5308,13248,13250],{"class":5310,"line":13249},47,[5308,13251,13252],{"class":5318},"        train_loss += loss.item()\n",[5308,13254,13256],{"class":5310,"line":13255},48,[5308,13257,5707],{"class":5318},[5308,13259,13261,13264,13266],{"class":5310,"line":13260},49,[5308,13262,13263],{"class":5318},"    train_loss \u002F= ",[5308,13265,12121],{"class":5443},[5308,13267,13268],{"class":5318},"(train_loader)\n",[5308,13270,13272],{"class":5310,"line":13271},50,[5308,13273,5707],{"class":5318},[5308,13275,13277],{"class":5310,"line":13276},51,[5308,13278,13279],{"class":5332},"    # ========== VALIDATION ==========\n",[5308,13281,13283],{"class":5310,"line":13282},52,[5308,13284,13285],{"class":5318},"    model.eval()\n",[5308,13287,13289,13292],{"class":5310,"line":13288},53,[5308,13290,13291],{"class":5318},"    val_loss = ",[5308,13293,13194],{"class":5342},[5308,13295,13297,13300],{"class":5310,"line":13296},54,[5308,13298,13299],{"class":5318},"    correct = ",[5308,13301,13302],{"class":5342},"0\n",[5308,13304,13306,13309],{"class":5310,"line":13305},55,[5308,13307,13308],{"class":5318},"    total = ",[5308,13310,13302],{"class":5342},[5308,13312,13314],{"class":5310,"line":13313},56,[5308,13315,5707],{"class":5318},[5308,13317,13319,13322],{"class":5310,"line":13318},57,[5308,13320,13321],{"class":5314},"    with",[5308,13323,12666],{"class":5318},[5308,13325,13327,13329,13331,13333],{"class":5310,"line":13326},58,[5308,13328,8473],{"class":5314},[5308,13330,13206],{"class":5318},[5308,13332,5825],{"class":5314},[5308,13334,13335],{"class":5318}," val_loader:\n",[5308,13337,13339],{"class":5310,"line":13338},59,[5308,13340,13341],{"class":5318},"            predictions = model(batch_X)\n",[5308,13343,13345],{"class":5310,"line":13344},60,[5308,13346,13347],{"class":5318},"            loss = criterion(predictions, batch_y)\n",[5308,13349,13351],{"class":5310,"line":13350},61,[5308,13352,13353],{"class":5318},"            val_loss += loss.item()\n",[5308,13355,13357],{"class":5310,"line":13356},62,[5308,13358,13359],{"class":5318},"            \n",[5308,13361,13363],{"class":5310,"line":13362},63,[5308,13364,13365],{"class":5332},"            # Обчислення accuracy\n",[5308,13367,13369,13372,13374],{"class":5310,"line":13368},64,[5308,13370,13371],{"class":5318},"            predicted_classes = (torch.sigmoid(predictions) > ",[5308,13373,11177],{"class":5342},[5308,13375,12956],{"class":5318},[5308,13377,13379],{"class":5310,"line":13378},65,[5308,13380,13381],{"class":5318},"            correct += (predicted_classes == batch_y).sum().item()\n",[5308,13383,13385,13388,13390],{"class":5310,"line":13384},66,[5308,13386,13387],{"class":5318},"            total += batch_y.size(",[5308,13389,6704],{"class":5342},[5308,13391,5365],{"class":5318},[5308,13393,13395],{"class":5310,"line":13394},67,[5308,13396,5707],{"class":5318},[5308,13398,13400,13403,13405],{"class":5310,"line":13399},68,[5308,13401,13402],{"class":5318},"    val_loss \u002F= ",[5308,13404,12121],{"class":5443},[5308,13406,13407],{"class":5318},"(val_loader)\n",[5308,13409,13411],{"class":5310,"line":13410},69,[5308,13412,13413],{"class":5318},"    val_accuracy = correct \u002F total\n",[5308,13415,13417],{"class":5310,"line":13416},70,[5308,13418,5707],{"class":5318},[5308,13420,13422,13424,13426,13428,13431,13433,13436,13438,13440,13443,13445,13448,13450,13452],{"class":5310,"line":13421},71,[5308,13423,6421],{"class":5443},[5308,13425,5447],{"class":5318},[5308,13427,5517],{"class":5361},[5308,13429,13430],{"class":5520},"\"Епоха ",[5308,13432,5524],{"class":5361},[5308,13434,13435],{"class":5318},"epoch+",[5308,13437,5297],{"class":5342},[5308,13439,5530],{"class":5361},[5308,13441,13442],{"class":5520},"\u002F",[5308,13444,5524],{"class":5361},[5308,13446,13447],{"class":5318},"num_epochs",[5308,13449,5530],{"class":5361},[5308,13451,5533],{"class":5520},[5308,13453,5365],{"class":5318},[5308,13455,13457,13459,13461,13463,13466,13468,13471,13473,13475],{"class":5310,"line":13456},72,[5308,13458,6421],{"class":5443},[5308,13460,5447],{"class":5318},[5308,13462,5517],{"class":5361},[5308,13464,13465],{"class":5520},"\"  Train Loss: ",[5308,13467,5524],{"class":5361},[5308,13469,13470],{"class":5318},"train_loss",[5308,13472,10214],{"class":5361},[5308,13474,5533],{"class":5520},[5308,13476,5365],{"class":5318},[5308,13478,13480,13482,13484,13486,13489,13491,13494,13496,13499,13501,13504,13506,13508,13510],{"class":5310,"line":13479},73,[5308,13481,6421],{"class":5443},[5308,13483,5447],{"class":5318},[5308,13485,5517],{"class":5361},[5308,13487,13488],{"class":5520},"\"  Val Loss: ",[5308,13490,5524],{"class":5361},[5308,13492,13493],{"class":5318},"val_loss",[5308,13495,10214],{"class":5361},[5308,13497,13498],{"class":5520},", Val Accuracy: ",[5308,13500,5524],{"class":5361},[5308,13502,13503],{"class":5318},"val_accuracy",[5308,13505,11399],{"class":5361},[5308,13507,8195],{"class":8194},[5308,13509,5533],{"class":5520},[5308,13511,5365],{"class":5318},[5537,13513,13514],{"v-slot:output":5304},[5540,13515,13516,13535],{},[5543,13517,13518],{},[5546,13519,13520,13523,13526,13529,13532],{},[5549,13521,13522],{"align":5551},"Епоха",[5549,13524,13525],{"align":5551},"Train Loss",[5549,13527,13528],{"align":5551},"Validation Loss",[5549,13530,13531],{"align":5551},"Validation Accuracy (%)",[5549,13533,13534],{"align":5845},"Динаміка",[5563,13536,13537,13562,13587,13612,13637],{},[5546,13538,13539,13544,13549,13554,13559],{},[5568,13540,13541],{"align":5551},[5227,13542,13543],{},"1 \u002F 10",[5568,13545,13546],{"align":5551},[5201,13547,13548],{},"0.5234",[5568,13550,13551],{"align":5551},[5201,13552,13553],{},"0.4567",[5568,13555,13556],{"align":5551},[5201,13557,13558],{},"82.00%",[5568,13560,13561],{"align":5845},"Початкове схоплення тренду",[5546,13563,13564,13569,13574,13579,13584],{},[5568,13565,13566],{"align":5551},[5227,13567,13568],{},"3 \u002F 10",[5568,13570,13571],{"align":5551},[5201,13572,13573],{},"0.3412",[5568,13575,13576],{"align":5551},[5201,13577,13578],{},"0.3120",[5568,13580,13581],{"align":5551},[5201,13582,13583],{},"88.50%",[5568,13585,13586],{"align":5845},"Впевнене зростання якості",[5546,13588,13589,13594,13599,13604,13609],{},[5568,13590,13591],{"align":5551},[5227,13592,13593],{},"5 \u002F 10",[5568,13595,13596],{"align":5551},[5201,13597,13598],{},"0.2145",[5568,13600,13601],{"align":5551},[5201,13602,13603],{},"0.2210",[5568,13605,13606],{"align":5551},[5201,13607,13608],{},"91.00%",[5568,13610,13611],{"align":5845},"Зниження похибки",[5546,13613,13614,13619,13624,13629,13634],{},[5568,13615,13616],{"align":5551},[5227,13617,13618],{},"8 \u002F 10",[5568,13620,13621],{"align":5551},[5201,13622,13623],{},"0.1345",[5568,13625,13626],{"align":5551},[5201,13627,13628],{},"0.1820",[5568,13630,13631],{"align":5551},[5201,13632,13633],{},"93.50%",[5568,13635,13636],{"align":5845},"Тонке налаштування",[5546,13638,13639,13644,13651,13658,13665],{},[5568,13640,13641],{"align":5551},[5227,13642,13643],{},"10 \u002F 10",[5568,13645,13646],{"align":5551},[5227,13647,13648],{},[5201,13649,13650],{},"0.1076",[5568,13652,13653],{"align":5551},[5227,13654,13655],{},[5201,13656,13657],{},"0.1785",[5568,13659,13660],{"align":5551},[5227,13661,13662],{},[5201,13663,13664],{},"94.00%",[5568,13666,13667],{"align":5845},"🎯 Стабільний результат класифікації",[5291,13669,13671],{"id":13670},"early-stopping-та-model-checkpointing","Early Stopping та Model Checkpointing",[5266,13673,13674],{},"Для запобігання перенавчанню та збереження найкращої моделі:",[5283,13676,13678],{"title":13677},"early_stopping.ipynb",[5287,13679,13680,14107],{"execution-count":5297},[5299,13681,13683],{"className":5301,"code":13682,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\nimport torch.optim as optim\n\n# Модель (продовжуємо попередній приклад)\nmodel = nn.Sequential(nn.Linear(10, 20), nn.ReLU(), nn.Linear(20, 1))\noptimizer = optim.Adam(model.parameters(), lr=0.001)\ncriterion = nn.BCEWithLogitsLoss()\n\n# Early stopping параметри\nbest_val_loss = float('inf')\npatience = 3  # скільки епох чекати без покращення\npatience_counter = 0\n\nfor epoch in range(50):  # максимум 50 епох\n    # ... тренування (код вище) ...\n    train_loss = 0.15  # приклад\n    val_loss = 0.18 - epoch * 0.002  # імітуємо покращення\n    \n    # Model checkpointing\n    if val_loss \u003C best_val_loss:\n        best_val_loss = val_loss\n        patience_counter = 0\n        \n        # Зберігаємо найкращу модель\n        torch.save({\n            'epoch': epoch,\n            'model_state_dict': model.state_dict(),\n            'optimizer_state_dict': optimizer.state_dict(),\n            'val_loss': val_loss\n        }, 'best_model.pt')\n        \n        print(f\"Епоха {epoch+1}: Val loss покращився до {val_loss:.4f} ✓ Збережено\")\n    else:\n        patience_counter += 1\n        print(f\"Епоха {epoch+1}: Val loss не покращився ({patience_counter}\u002F{patience})\")\n        \n        if patience_counter >= patience:\n            print(f\"\\nEarly stopping на епосі {epoch+1}\")\n            break\n\nprint(f\"\\nНайкраща val loss: {best_val_loss:.4f}\")\n",[5201,13684,13685,13691,13701,13711,13715,13720,13740,13752,13756,13760,13765,13780,13790,13797,13801,13822,13827,13837,13853,13857,13862,13870,13875,13882,13886,13891,13896,13904,13912,13920,13928,13938,13942,13975,13983,13991,14033,14037,14044,14072,14077,14081],{"__ignoreMap":5304},[5308,13686,13687,13689],{"class":5310,"line":5311},[5308,13688,5315],{"class":5314},[5308,13690,5319],{"class":5318},[5308,13692,13693,13695,13697,13699],{"class":5310,"line":5322},[5308,13694,5315],{"class":5314},[5308,13696,5610],{"class":5318},[5308,13698,5613],{"class":5314},[5308,13700,5616],{"class":5318},[5308,13702,13703,13705,13707,13709],{"class":5310,"line":5329},[5308,13704,5315],{"class":5314},[5308,13706,9995],{"class":5318},[5308,13708,5613],{"class":5314},[5308,13710,10000],{"class":5318},[5308,13712,13713],{"class":5310,"line":5336},[5308,13714,5326],{"emptyLinePlaceholder":5325},[5308,13716,13717],{"class":5310,"line":5368},[5308,13718,13719],{"class":5332},"# Модель (продовжуємо попередній приклад)\n",[5308,13721,13722,13724,13726,13728,13730,13732,13734,13736,13738],{"class":5310,"line":5386},[5308,13723,11981],{"class":5318},[5308,13725,5343],{"class":5342},[5308,13727,5346],{"class":5318},[5308,13729,5349],{"class":5342},[5308,13731,11990],{"class":5318},[5308,13733,5349],{"class":5342},[5308,13735,5346],{"class":5318},[5308,13737,5297],{"class":5342},[5308,13739,11999],{"class":5318},[5308,13741,13742,13744,13746,13748,13750],{"class":5310,"line":5408},[5308,13743,10101],{"class":5318},[5308,13745,10104],{"class":5354},[5308,13747,5358],{"class":5318},[5308,13749,10109],{"class":5342},[5308,13751,5365],{"class":5318},[5308,13753,13754],{"class":5310,"line":5426},[5308,13755,10880],{"class":5318},[5308,13757,13758],{"class":5310,"line":5431},[5308,13759,5326],{"emptyLinePlaceholder":5325},[5308,13761,13762],{"class":5310,"line":5437},[5308,13763,13764],{"class":5332},"# Early stopping параметри\n",[5308,13766,13767,13770,13773,13775,13778],{"class":5310,"line":5456},[5308,13768,13769],{"class":5318},"best_val_loss = ",[5308,13771,13772],{"class":5628},"float",[5308,13774,5447],{"class":5318},[5308,13776,13777],{"class":5520},"'inf'",[5308,13779,5365],{"class":5318},[5308,13781,13782,13785,13787],{"class":5310,"line":5462},[5308,13783,13784],{"class":5318},"patience = ",[5308,13786,6727],{"class":5342},[5308,13788,13789],{"class":5332},"  # скільки епох чекати без покращення\n",[5308,13791,13792,13795],{"class":5310,"line":5468},[5308,13793,13794],{"class":5318},"patience_counter = ",[5308,13796,13302],{"class":5342},[5308,13798,13799],{"class":5310,"line":5474},[5308,13800,5326],{"emptyLinePlaceholder":5325},[5308,13802,13803,13805,13807,13809,13811,13813,13816,13819],{"class":5310,"line":5483},[5308,13804,5819],{"class":5314},[5308,13806,13168],{"class":5318},[5308,13808,5825],{"class":5314},[5308,13810,13173],{"class":5443},[5308,13812,5447],{"class":5318},[5308,13814,13815],{"class":5342},"50",[5308,13817,13818],{"class":5318},"):  ",[5308,13820,13821],{"class":5332},"# максимум 50 епох\n",[5308,13823,13824],{"class":5310,"line":5488},[5308,13825,13826],{"class":5332},"    # ... тренування (код вище) ...\n",[5308,13828,13829,13831,13834],{"class":5310,"line":5503},[5308,13830,13191],{"class":5318},[5308,13832,13833],{"class":5342},"0.15",[5308,13835,13836],{"class":5332},"  # приклад\n",[5308,13838,13839,13841,13844,13847,13850],{"class":5310,"line":5509},[5308,13840,13291],{"class":5318},[5308,13842,13843],{"class":5342},"0.18",[5308,13845,13846],{"class":5318}," - epoch * ",[5308,13848,13849],{"class":5342},"0.002",[5308,13851,13852],{"class":5332},"  # імітуємо покращення\n",[5308,13854,13855],{"class":5310,"line":5799},[5308,13856,5707],{"class":5318},[5308,13858,13859],{"class":5310,"line":6158},[5308,13860,13861],{"class":5332},"    # Model checkpointing\n",[5308,13863,13864,13867],{"class":5310,"line":6164},[5308,13865,13866],{"class":5314},"    if",[5308,13868,13869],{"class":5318}," val_loss \u003C best_val_loss:\n",[5308,13871,13872],{"class":5310,"line":6194},[5308,13873,13874],{"class":5318},"        best_val_loss = val_loss\n",[5308,13876,13877,13880],{"class":5310,"line":6199},[5308,13878,13879],{"class":5318},"        patience_counter = ",[5308,13881,13302],{"class":5342},[5308,13883,13884],{"class":5310,"line":6205},[5308,13885,6064],{"class":5318},[5308,13887,13888],{"class":5310,"line":6223},[5308,13889,13890],{"class":5332},"        # Зберігаємо найкращу модель\n",[5308,13892,13893],{"class":5310,"line":6229},[5308,13894,13895],{"class":5318},"        torch.save({\n",[5308,13897,13898,13901],{"class":5310,"line":6234},[5308,13899,13900],{"class":5520},"            'epoch'",[5308,13902,13903],{"class":5318},": epoch,\n",[5308,13905,13906,13909],{"class":5310,"line":6257},[5308,13907,13908],{"class":5520},"            'model_state_dict'",[5308,13910,13911],{"class":5318},": model.state_dict(),\n",[5308,13913,13914,13917],{"class":5310,"line":7788},[5308,13915,13916],{"class":5520},"            'optimizer_state_dict'",[5308,13918,13919],{"class":5318},": optimizer.state_dict(),\n",[5308,13921,13922,13925],{"class":5310,"line":7797},[5308,13923,13924],{"class":5520},"            'val_loss'",[5308,13926,13927],{"class":5318},": val_loss\n",[5308,13929,13930,13933,13936],{"class":5310,"line":7807},[5308,13931,13932],{"class":5318},"        }, ",[5308,13934,13935],{"class":5520},"'best_model.pt'",[5308,13937,5365],{"class":5318},[5308,13939,13940],{"class":5310,"line":7812},[5308,13941,6064],{"class":5318},[5308,13943,13944,13947,13949,13951,13953,13955,13957,13959,13961,13964,13966,13968,13970,13973],{"class":5310,"line":7822},[5308,13945,13946],{"class":5443},"        print",[5308,13948,5447],{"class":5318},[5308,13950,5517],{"class":5361},[5308,13952,13430],{"class":5520},[5308,13954,5524],{"class":5361},[5308,13956,13435],{"class":5318},[5308,13958,5297],{"class":5342},[5308,13960,5530],{"class":5361},[5308,13962,13963],{"class":5520},": Val loss покращився до ",[5308,13965,5524],{"class":5361},[5308,13967,13493],{"class":5318},[5308,13969,10214],{"class":5361},[5308,13971,13972],{"class":5520}," ✓ Збережено\"",[5308,13974,5365],{"class":5318},[5308,13976,13977,13980],{"class":5310,"line":7827},[5308,13978,13979],{"class":5314},"    else",[5308,13981,13982],{"class":5318},":\n",[5308,13984,13985,13988],{"class":5310,"line":7833},[5308,13986,13987],{"class":5318},"        patience_counter += ",[5308,13989,13990],{"class":5342},"1\n",[5308,13992,13993,13995,13997,13999,14001,14003,14005,14007,14009,14012,14014,14017,14019,14021,14023,14026,14028,14031],{"class":5310,"line":7843},[5308,13994,13946],{"class":5443},[5308,13996,5447],{"class":5318},[5308,13998,5517],{"class":5361},[5308,14000,13430],{"class":5520},[5308,14002,5524],{"class":5361},[5308,14004,13435],{"class":5318},[5308,14006,5297],{"class":5342},[5308,14008,5530],{"class":5361},[5308,14010,14011],{"class":5520},": Val loss не покращився (",[5308,14013,5524],{"class":5361},[5308,14015,14016],{"class":5318},"patience_counter",[5308,14018,5530],{"class":5361},[5308,14020,13442],{"class":5520},[5308,14022,5524],{"class":5361},[5308,14024,14025],{"class":5318},"patience",[5308,14027,5530],{"class":5361},[5308,14029,14030],{"class":5520},")\"",[5308,14032,5365],{"class":5318},[5308,14034,14035],{"class":5310,"line":7850},[5308,14036,6064],{"class":5318},[5308,14038,14039,14041],{"class":5310,"line":7855},[5308,14040,9417],{"class":5314},[5308,14042,14043],{"class":5318}," patience_counter >= patience:\n",[5308,14045,14046,14049,14051,14053,14055,14057,14060,14062,14064,14066,14068,14070],{"class":5310,"line":7892},[5308,14047,14048],{"class":5443},"            print",[5308,14050,5447],{"class":5318},[5308,14052,5517],{"class":5361},[5308,14054,5533],{"class":5520},[5308,14056,8195],{"class":8194},[5308,14058,14059],{"class":5520},"Early stopping на епосі ",[5308,14061,5524],{"class":5361},[5308,14063,13435],{"class":5318},[5308,14065,5297],{"class":5342},[5308,14067,5530],{"class":5361},[5308,14069,5533],{"class":5520},[5308,14071,5365],{"class":5318},[5308,14073,14074],{"class":5310,"line":13201},[5308,14075,14076],{"class":5314},"            break\n",[5308,14078,14079],{"class":5310,"line":13214},[5308,14080,5326],{"emptyLinePlaceholder":5325},[5308,14082,14083,14085,14087,14089,14091,14093,14096,14098,14101,14103,14105],{"class":5310,"line":13220},[5308,14084,5512],{"class":5443},[5308,14086,5447],{"class":5318},[5308,14088,5517],{"class":5361},[5308,14090,5533],{"class":5520},[5308,14092,8195],{"class":8194},[5308,14094,14095],{"class":5520},"Найкраща val loss: ",[5308,14097,5524],{"class":5361},[5308,14099,14100],{"class":5318},"best_val_loss",[5308,14102,10214],{"class":5361},[5308,14104,5533],{"class":5520},[5308,14106,5365],{"class":5318},[5537,14108,14109,14290],{"v-slot:output":5304},[5540,14110,14111,14127],{},[5543,14112,14113],{},[5546,14114,14115,14117,14119,14122,14125],{},[5549,14116,13522],{"align":5551},[5549,14118,13528],{"align":5551},[5549,14120,14121],{"align":5551},"Збереження чекпоінта",[5549,14123,14124],{"align":5551},"Лічильник Patience ($p=3$)",[5549,14126,10238],{"align":5845},[5563,14128,14129,14154,14176,14192,14220,14243,14265],{},[5546,14130,14131,14135,14140,14146,14151],{},[5568,14132,14133],{"align":5551},[5227,14134,5297],{},[5568,14136,14137],{"align":5551},[5201,14138,14139],{},"0.1780",[5568,14141,14142,14143],{"align":5551},"💾 Збережено ",[5201,14144,14145],{},"best_model.pt",[5568,14147,14148],{"align":5551},[5201,14149,14150],{},"0 \u002F 3",[5568,14152,14153],{"align":5845},"Початковий рекорд",[5546,14155,14156,14160,14165,14169,14173],{},[5568,14157,14158],{"align":5551},[5227,14159,5592],{},[5568,14161,14162],{"align":5551},[5201,14163,14164],{},"0.1760",[5568,14166,14142,14167],{"align":5551},[5201,14168,14145],{},[5568,14170,14171],{"align":5551},[5201,14172,14150],{},[5568,14174,14175],{"align":5845},"Покращення валідації",[5546,14177,14178,14183,14185,14187,14189],{},[5568,14179,14180],{"align":5551},[5227,14181,14182],{},"...",[5568,14184,14182],{"align":5551},[5568,14186,14182],{"align":5551},[5568,14188,14182],{"align":5551},[5568,14190,14191],{"align":5845},"Поступове навчання",[5546,14193,14194,14199,14206,14211,14215],{},[5568,14195,14196],{"align":5551},[5227,14197,14198],{},"24",[5568,14200,14201],{"align":5551},[5227,14202,14203],{},[5201,14204,14205],{},"0.1320",[5568,14207,12243,14208],{"align":5551},[5227,14209,14210],{},"Найкраща модель збережена",[5568,14212,14213],{"align":5551},[5201,14214,14150],{},[5568,14216,14217],{"align":5845},[5227,14218,14219],{},"Абсолютний мінімум втрат",[5546,14221,14222,14227,14232,14235,14240],{},[5568,14223,14224],{"align":5551},[5227,14225,14226],{},"25",[5568,14228,14229],{"align":5551},[5201,14230,14231],{},"0.1335",[5568,14233,14234],{"align":5551},"❌ Не покращився",[5568,14236,14237],{"align":5551},[5201,14238,14239],{},"1 \u002F 3",[5568,14241,14242],{"align":5845},"Перше попередження",[5546,14244,14245,14250,14255,14257,14262],{},[5568,14246,14247],{"align":5551},[5227,14248,14249],{},"26",[5568,14251,14252],{"align":5551},[5201,14253,14254],{},"0.1350",[5568,14256,14234],{"align":5551},[5568,14258,14259],{"align":5551},[5201,14260,14261],{},"2 \u002F 3",[5568,14263,14264],{"align":5845},"Друге попередження",[5546,14266,14267,14272,14277,14279,14284],{},[5568,14268,14269],{"align":5551},[5227,14270,14271],{},"27",[5568,14273,14274],{"align":5551},[5201,14275,14276],{},"0.1380",[5568,14278,14234],{"align":5551},[5568,14280,14281],{"align":5551},[5201,14282,14283],{},"3 \u002F 3",[5568,14285,14286,14287],{"align":5845},"🛑 ",[5227,14288,14289],{},"Early stopping спрацював",[5266,14291,14292],{},[14293,14294],"img",{"alt":14295,"className":14296,"src":14298},"Динаміка тренувальних і валідаційних втрат та Early Stopping у PyTorch",[14297],"diagram-img","\u002Fimages\u002Fai-python\u002Fpytorch-intro\u002Fbuilding-and-training\u002F01.png",[5898,14300,14301,14306,14326],{},[5266,14302,14303],{},[5227,14304,14305],{},"Параметри early stopping:",[5194,14307,14308,14314,14320],{},[5197,14309,14310,14313],{},[5227,14311,14312],{},"patience=3-5:"," для малих датасетів (швидке навчання)",[5197,14315,14316,14319],{},[5227,14317,14318],{},"patience=10-20:"," для великих датасетів (повільна збіжність)",[5197,14321,14322,14325],{},[5227,14323,14324],{},"patience=50-100:"," для Transformers та дуже великих моделей",[5266,14327,14328,14331],{},[5227,14329,14330],{},"Правило:"," Якщо тренування триває N епох, встановіть patience ≈ N\u002F10.",[5291,14333,14335],{"id":14334},"метрики-та-моніторинг","Метрики та моніторинг",[5266,14337,14338],{},"Окрім функції втрат, важливо відстежувати інші метрики:",[5283,14340,14342],{"title":14341},"metrics.ipynb",[5287,14343,14344,14793],{"execution-count":5297},[5299,14345,14347],{"className":5301,"code":14346,"language":5303,"meta":5304,"style":5304},"import torch\nimport torch.nn as nn\n\n# Імітуємо передбачення бінарної класифікації\ny_true = torch.tensor([0, 1, 1, 0, 1, 0, 1, 1, 0, 0])\nlogits = torch.tensor([-1.2, 2.3, 0.8, -0.5, 1.9, -2.1, 0.3, 1.5, -0.8, -1.5])\ny_pred = (torch.sigmoid(logits) > 0.5).long()\n\n# Accuracy\naccuracy = (y_pred == y_true).float().mean()\nprint(f\"Accuracy: {accuracy:.2%}\")\n\n# Precision, Recall, F1 (вручну)\ntp = ((y_pred == 1) & (y_true == 1)).sum().item()\nfp = ((y_pred == 1) & (y_true == 0)).sum().item()\nfn = ((y_pred == 0) & (y_true == 1)).sum().item()\ntn = ((y_pred == 0) & (y_true == 0)).sum().item()\n\nprecision = tp \u002F (tp + fp) if (tp + fp) > 0 else 0\nrecall = tp \u002F (tp + fn) if (tp + fn) > 0 else 0\nf1 = 2 * precision * recall \u002F (precision + recall) if (precision + recall) > 0 else 0\n\nprint(f\"\\nПрецизія: {precision:.2%}\")\nprint(f\"Повнота (Recall): {recall:.2%}\")\nprint(f\"F1-Score: {f1:.2%}\")\n\n# Confusion Matrix\nprint(f\"\\nConfusion Matrix:\")\nprint(f\"  TP: {tp}, FP: {fp}\")\nprint(f\"  FN: {fn}, TN: {tn}\")\n",[5201,14348,14349,14355,14365,14369,14374,14418,14462,14472,14476,14481,14486,14507,14511,14516,14531,14544,14557,14570,14574,14592,14608,14629,14633,14659,14681,14703,14707,14712,14729,14761],{"__ignoreMap":5304},[5308,14350,14351,14353],{"class":5310,"line":5311},[5308,14352,5315],{"class":5314},[5308,14354,5319],{"class":5318},[5308,14356,14357,14359,14361,14363],{"class":5310,"line":5322},[5308,14358,5315],{"class":5314},[5308,14360,5610],{"class":5318},[5308,14362,5613],{"class":5314},[5308,14364,5616],{"class":5318},[5308,14366,14367],{"class":5310,"line":5329},[5308,14368,5326],{"emptyLinePlaceholder":5325},[5308,14370,14371],{"class":5310,"line":5336},[5308,14372,14373],{"class":5332},"# Імітуємо передбачення бінарної класифікації\n",[5308,14375,14376,14378,14380,14382,14384,14386,14388,14390,14392,14394,14396,14398,14400,14402,14404,14406,14408,14410,14412,14414,14416],{"class":5310,"line":5368},[5308,14377,10434],{"class":5318},[5308,14379,6704],{"class":5342},[5308,14381,5346],{"class":5318},[5308,14383,5297],{"class":5342},[5308,14385,5346],{"class":5318},[5308,14387,5297],{"class":5342},[5308,14389,5346],{"class":5318},[5308,14391,6704],{"class":5342},[5308,14393,5346],{"class":5318},[5308,14395,5297],{"class":5342},[5308,14397,5346],{"class":5318},[5308,14399,6704],{"class":5342},[5308,14401,5346],{"class":5318},[5308,14403,5297],{"class":5342},[5308,14405,5346],{"class":5318},[5308,14407,5297],{"class":5342},[5308,14409,5346],{"class":5318},[5308,14411,6704],{"class":5342},[5308,14413,5346],{"class":5318},[5308,14415,6704],{"class":5342},[5308,14417,7207],{"class":5318},[5308,14419,14420,14422,14424,14426,14428,14430,14432,14434,14436,14438,14440,14442,14444,14446,14448,14450,14452,14454,14456,14458,14460],{"class":5310,"line":5386},[5308,14421,10841],{"class":5318},[5308,14423,10465],{"class":5342},[5308,14425,5346],{"class":5318},[5308,14427,10844],{"class":5342},[5308,14429,5346],{"class":5318},[5308,14431,10854],{"class":5342},[5308,14433,7188],{"class":5318},[5308,14435,11177],{"class":5342},[5308,14437,5346],{"class":5318},[5308,14439,11233],{"class":5342},[5308,14441,7188],{"class":5318},[5308,14443,10470],{"class":5342},[5308,14445,5346],{"class":5318},[5308,14447,7606],{"class":5342},[5308,14449,5346],{"class":5318},[5308,14451,10849],{"class":5342},[5308,14453,7188],{"class":5318},[5308,14455,10854],{"class":5342},[5308,14457,7188],{"class":5318},[5308,14459,10849],{"class":5342},[5308,14461,7207],{"class":5318},[5308,14463,14464,14467,14469],{"class":5310,"line":5408},[5308,14465,14466],{"class":5318},"y_pred = (torch.sigmoid(logits) > ",[5308,14468,11177],{"class":5342},[5308,14470,14471],{"class":5318},").long()\n",[5308,14473,14474],{"class":5310,"line":5426},[5308,14475,5326],{"emptyLinePlaceholder":5325},[5308,14477,14478],{"class":5310,"line":5431},[5308,14479,14480],{"class":5332},"# Accuracy\n",[5308,14482,14483],{"class":5310,"line":5437},[5308,14484,14485],{"class":5318},"accuracy = (y_pred == y_true).float().mean()\n",[5308,14487,14488,14490,14492,14494,14496,14498,14501,14503,14505],{"class":5310,"line":5456},[5308,14489,5512],{"class":5443},[5308,14491,5447],{"class":5318},[5308,14493,5517],{"class":5361},[5308,14495,11391],{"class":5520},[5308,14497,5524],{"class":5361},[5308,14499,14500],{"class":5318},"accuracy",[5308,14502,11399],{"class":5361},[5308,14504,5533],{"class":5520},[5308,14506,5365],{"class":5318},[5308,14508,14509],{"class":5310,"line":5462},[5308,14510,5326],{"emptyLinePlaceholder":5325},[5308,14512,14513],{"class":5310,"line":5468},[5308,14514,14515],{"class":5332},"# Precision, Recall, F1 (вручну)\n",[5308,14517,14518,14521,14523,14526,14528],{"class":5310,"line":5474},[5308,14519,14520],{"class":5318},"tp = ((y_pred == ",[5308,14522,5297],{"class":5342},[5308,14524,14525],{"class":5318},") & (y_true == ",[5308,14527,5297],{"class":5342},[5308,14529,14530],{"class":5318},")).sum().item()\n",[5308,14532,14533,14536,14538,14540,14542],{"class":5310,"line":5483},[5308,14534,14535],{"class":5318},"fp = ((y_pred == ",[5308,14537,5297],{"class":5342},[5308,14539,14525],{"class":5318},[5308,14541,6704],{"class":5342},[5308,14543,14530],{"class":5318},[5308,14545,14546,14549,14551,14553,14555],{"class":5310,"line":5488},[5308,14547,14548],{"class":5318},"fn = ((y_pred == ",[5308,14550,6704],{"class":5342},[5308,14552,14525],{"class":5318},[5308,14554,5297],{"class":5342},[5308,14556,14530],{"class":5318},[5308,14558,14559,14562,14564,14566,14568],{"class":5310,"line":5503},[5308,14560,14561],{"class":5318},"tn = ((y_pred == ",[5308,14563,6704],{"class":5342},[5308,14565,14525],{"class":5318},[5308,14567,6704],{"class":5342},[5308,14569,14530],{"class":5318},[5308,14571,14572],{"class":5310,"line":5509},[5308,14573,5326],{"emptyLinePlaceholder":5325},[5308,14575,14576,14579,14581,14584,14586,14589],{"class":5310,"line":5799},[5308,14577,14578],{"class":5318},"precision = tp \u002F (tp + fp) ",[5308,14580,6624],{"class":5314},[5308,14582,14583],{"class":5318}," (tp + fp) > ",[5308,14585,6704],{"class":5342},[5308,14587,14588],{"class":5314}," else",[5308,14590,14591],{"class":5342}," 0\n",[5308,14593,14594,14597,14599,14602,14604,14606],{"class":5310,"line":6158},[5308,14595,14596],{"class":5318},"recall = tp \u002F (tp + fn) ",[5308,14598,6624],{"class":5314},[5308,14600,14601],{"class":5318}," (tp + fn) > ",[5308,14603,6704],{"class":5342},[5308,14605,14588],{"class":5314},[5308,14607,14591],{"class":5342},[5308,14609,14610,14613,14615,14618,14620,14623,14625,14627],{"class":5310,"line":6164},[5308,14611,14612],{"class":5318},"f1 = ",[5308,14614,5592],{"class":5342},[5308,14616,14617],{"class":5318}," * precision * recall \u002F (precision + recall) ",[5308,14619,6624],{"class":5314},[5308,14621,14622],{"class":5318}," (precision + recall) > ",[5308,14624,6704],{"class":5342},[5308,14626,14588],{"class":5314},[5308,14628,14591],{"class":5342},[5308,14630,14631],{"class":5310,"line":6194},[5308,14632,5326],{"emptyLinePlaceholder":5325},[5308,14634,14635,14637,14639,14641,14643,14645,14648,14650,14653,14655,14657],{"class":5310,"line":6199},[5308,14636,5512],{"class":5443},[5308,14638,5447],{"class":5318},[5308,14640,5517],{"class":5361},[5308,14642,5533],{"class":5520},[5308,14644,8195],{"class":8194},[5308,14646,14647],{"class":5520},"Прецизія: ",[5308,14649,5524],{"class":5361},[5308,14651,14652],{"class":5318},"precision",[5308,14654,11399],{"class":5361},[5308,14656,5533],{"class":5520},[5308,14658,5365],{"class":5318},[5308,14660,14661,14663,14665,14667,14670,14672,14675,14677,14679],{"class":5310,"line":6205},[5308,14662,5512],{"class":5443},[5308,14664,5447],{"class":5318},[5308,14666,5517],{"class":5361},[5308,14668,14669],{"class":5520},"\"Повнота (Recall): ",[5308,14671,5524],{"class":5361},[5308,14673,14674],{"class":5318},"recall",[5308,14676,11399],{"class":5361},[5308,14678,5533],{"class":5520},[5308,14680,5365],{"class":5318},[5308,14682,14683,14685,14687,14689,14692,14694,14697,14699,14701],{"class":5310,"line":6223},[5308,14684,5512],{"class":5443},[5308,14686,5447],{"class":5318},[5308,14688,5517],{"class":5361},[5308,14690,14691],{"class":5520},"\"F1-Score: ",[5308,14693,5524],{"class":5361},[5308,14695,14696],{"class":5318},"f1",[5308,14698,11399],{"class":5361},[5308,14700,5533],{"class":5520},[5308,14702,5365],{"class":5318},[5308,14704,14705],{"class":5310,"line":6229},[5308,14706,5326],{"emptyLinePlaceholder":5325},[5308,14708,14709],{"class":5310,"line":6234},[5308,14710,14711],{"class":5332},"# Confusion Matrix\n",[5308,14713,14714,14716,14718,14720,14722,14724,14727],{"class":5310,"line":6257},[5308,14715,5512],{"class":5443},[5308,14717,5447],{"class":5318},[5308,14719,5517],{"class":5361},[5308,14721,5533],{"class":5520},[5308,14723,8195],{"class":8194},[5308,14725,14726],{"class":5520},"Confusion Matrix:\"",[5308,14728,5365],{"class":5318},[5308,14730,14731,14733,14735,14737,14740,14742,14745,14747,14750,14752,14755,14757,14759],{"class":5310,"line":7788},[5308,14732,5512],{"class":5443},[5308,14734,5447],{"class":5318},[5308,14736,5517],{"class":5361},[5308,14738,14739],{"class":5520},"\"  TP: ",[5308,14741,5524],{"class":5361},[5308,14743,14744],{"class":5318},"tp",[5308,14746,5530],{"class":5361},[5308,14748,14749],{"class":5520},", FP: ",[5308,14751,5524],{"class":5361},[5308,14753,14754],{"class":5318},"fp",[5308,14756,5530],{"class":5361},[5308,14758,5533],{"class":5520},[5308,14760,5365],{"class":5318},[5308,14762,14763,14765,14767,14769,14772,14774,14777,14779,14782,14784,14787,14789,14791],{"class":5310,"line":7797},[5308,14764,5512],{"class":5443},[5308,14766,5447],{"class":5318},[5308,14768,5517],{"class":5361},[5308,14770,14771],{"class":5520},"\"  FN: ",[5308,14773,5524],{"class":5361},[5308,14775,14776],{"class":5318},"fn",[5308,14778,5530],{"class":5361},[5308,14780,14781],{"class":5520},", TN: ",[5308,14783,5524],{"class":5361},[5308,14785,14786],{"class":5318},"tn",[5308,14788,5530],{"class":5361},[5308,14790,5533],{"class":5520},[5308,14792,5365],{"class":5318},[5537,14794,14795],{"v-slot:output":5304},[5540,14796,14797,14810],{},[5543,14798,14799],{},[5546,14800,14801,14804,14807],{},[5549,14802,14803],{"align":5845},"Метрика якості",[5549,14805,14806],{"align":5551},"Обчислене значення",[5549,14808,14809],{"align":5845},"Інтерпретація для бінарної класифікації",[5563,14811,14812,14829,14846,14863],{},[5546,14813,14814,14819,14826],{},[5568,14815,14816],{"align":5845},[5227,14817,14818],{},"Загальна точність (Accuracy)",[5568,14820,14821],{"align":5551},[5227,14822,14823],{},[5201,14824,14825],{},"90.00%",[5568,14827,14828],{"align":5845},"9 із 10 тестових прикладів класифіковано вірно",[5546,14830,14831,14836,14843],{},[5568,14832,14833],{"align":5845},[5227,14834,14835],{},"Точність (Precision)",[5568,14837,14838],{"align":5551},[5227,14839,14840],{},[5201,14841,14842],{},"83.33%",[5568,14844,14845],{"align":5845},"5 із 6 позитивних прогнозів виявилися істинними",[5546,14847,14848,14853,14860],{},[5568,14849,14850],{"align":5845},[5227,14851,14852],{},"Повнота (Recall)",[5568,14854,14855],{"align":5551},[5227,14856,14857],{},[5201,14858,14859],{},"100.00%",[5568,14861,14862],{"align":5845},"Жодного позитивного випадку не пропущено ($FN = 0$)",[5546,14864,14865,14870,14877],{},[5568,14866,14867],{"align":5845},[5227,14868,14869],{},"$F_1$-міра ($F_1$-score)",[5568,14871,14872],{"align":5551},[5227,14873,14874],{},[5201,14875,14876],{},"90.91%",[5568,14878,14879],{"align":5845},"Гармонійне середнє між Precision та Recall",[5886,14881,14882],{},[5266,14883,14884,14886],{},[5227,14885,5892],{}," Accuracy — це як загальна оцінка за контрольну. Precision — скільки ваших відповідей «так» були правильними. Recall — скільки правильних відповідей ви знайшли. F1 — баланс між ними.",[5940,14888],{},[5261,14890,14892],{"id":14891},"резюме","Резюме",[5186,14894,14895,14920,14947,14974],{},[5189,14896,14899],{"icon":14897,"title":14898},"i-lucide-blocks","🏗️ Побудова моделей",[5194,14900,14901,14906,14909,14912],{},[5197,14902,14903,14905],{},[5227,14904,5203],{}," — базовий клас для всіх мереж",[5197,14907,14908],{},"Три способи: кастомний клас, Sequential, ModuleList",[5197,14910,14911],{},"Правильна ініціалізація ваг: Xavier (tanh\u002Fsigmoid), He (ReLU)",[5197,14913,14914,14916,14917,14919],{},[5201,14915,5931],{}," \u002F ",[5201,14918,5935],{}," — режими для Dropout та BatchNorm",[5189,14921,14924],{"icon":14922,"title":14923},"i-lucide-trending-down","📉 Функції втрат",[5194,14925,14926,14932,14938,14944],{},[5197,14927,14928,14931],{},[5227,14929,14930],{},"Регресія:"," MSELoss, L1Loss, SmoothL1Loss",[5197,14933,14934,14937],{},[5227,14935,14936],{},"Бінарна:"," BCEWithLogitsLoss (включає sigmoid)",[5197,14939,14940,14943],{},[5227,14941,14942],{},"Багатокласова:"," CrossEntropyLoss (включає LogSoftmax)",[5197,14945,14946],{},"Вибір залежить від задачі та розподілу даних",[5189,14948,14951],{"icon":14949,"title":14950},"i-lucide-settings-2","⚙️ Оптимізатори",[5194,14952,14953,14959,14965,14971],{},[5197,14954,14955,14958],{},[5227,14956,14957],{},"SGD + momentum:"," для CV (ResNet, VGG)",[5197,14960,14961,14964],{},[5227,14962,14963],{},"Adam:"," універсальний, швидкий старт",[5197,14966,14967,14970],{},[5227,14968,14969],{},"AdamW:"," для NLP та Transformers (краща генералізація)",[5197,14972,14973],{},"Типові LR: SGD (0.01-0.1), Adam\u002FAdamW (0.001-0.0001)",[5189,14975,14978],{"icon":14976,"title":14977},"i-lucide-repeat","🔄 Training Loop",[5194,14979,14980,14983,14986,14989],{},[5197,14981,14982],{},"6 кроків: zero_grad → forward → loss → backward → step → log",[5197,14984,14985],{},"Train\u002FVal розділення обов'язкове",[5197,14987,14988],{},"Early stopping (patience=3-20)",[5197,14990,14991],{},"Model checkpointing для збереження найкращої моделі",[5940,14993],{},[5261,14995,14997],{"id":14996},"що-далі","Що далі?",[5266,14999,15000,15001,15004],{},"У наступній статті ",[5227,15002,15003],{},"«Робота з даними та регуляризація в PyTorch»"," ми вивчимо:",[5194,15006,15007,15010,15013,15016],{},[5197,15008,15009],{},"Dataset та DataLoader для ефективного завантаження даних",[5197,15011,15012],{},"Трансформації та augmentation",[5197,15014,15015],{},"Dropout, Batch Normalization, Weight Decay",[5197,15017,15018],{},"Боротьба з перенавчанням на практиці",[5266,15020,15021],{},"Файл 2 завершено! 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