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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":3960,"body":5182,"description":12674,"extension":12675,"links":12676,"meta":12677,"navigation":5434,"path":3961,"seo":12678,"stem":3962,"__hash__":12679},"docs\u002F16.ai-python\u002F16.batching-normalization-deep-networks\u002F02.weight-initialization.md",{"type":5183,"value":5184,"toc":12650},"minimark",[5185,5190,5194,5206,5240,5243,5310,5313,5317,5328,5333,6396,6414,6418,6421,6910,6913,6917,6930,6933,6944,6947,6950,6953,6963,6966,6987,6990,6993,7008,7027,7029,7033,7040,7047,8448,8485,8489,8499,8502,8507,8510,8516,8519,8530,8533,8550,8553,8568,8582,8584,8588,8598,8602,8612,8615,8618,8621,8647,8654,8657,8665,8668,8671,8674,8677,8680,8685,8692,8695,8700,8703,8706,8712,8717,8727,8730,8734,8739,8742,8747,8750,8782,8784,8788,8797,8801,8804,8807,8818,8825,8828,8839,8843,8847,8850,8854,8857,8872,8913,8915,8919,8926,9790,9794,9801,9880,9904,9906,9910,9917,12260,12286,12288,12292,12623,12637,12639,12646],[5186,5187,5189],"h2",{"id":5188},"перший-крок-навчання-чому-початкові-ваги-критичні","Перший крок навчання — чому початкові ваги критичні",[5191,5192,5193],"p",{},"У попередній статті ми опанували Mini-batch Gradient Descent та навчилися ефективно завантажувати дані через PyTorch DataLoader. Тепер наша модель готова до навчання: датасет розбито на батчі, оптимізатор налаштовано, функція втрат визначена. Залишилося натиснути «запуск» та спостерігати, як loss зменшується, а accuracy зростає.",[5191,5195,5196,5197,5201,5202,5205],{},"Але перед першою ітерацією градієнтного спуску відбувається ",[5198,5199,5200],"strong",{},"критичний момент",", який часто залишається поза увагою початківців: ",[5198,5203,5204],{},"ініціалізація ваг",". Саме від того, з яких значень розпочне навчання модель, залежить:",[5207,5208,5209,5219,5231],"card-group",{},[5210,5211,5214,5215,5218],"card",{"icon":5212,"title":5213},"i-lucide-target","🎯 Чи навчиться модель взагалі","Погана ініціалізація може призвести до ",[5198,5216,5217],{},"dead network"," — мережі, де всі нейрони обчислюють однакові значення, і градієнти не оновлюють ваги. Модель застрягає у початковій точці назавжди.",[5210,5220,5222,5223,5226,5227,5230],{"icon":92,"title":5221},"⚡ Швидкість конвергенції","Правильна ініціалізація дозволяє використовувати ",[5198,5224,5225],{},"великий learning rate"," (0.01-0.1 замість 0.0001), що прискорює навчання у ",[5198,5228,5229],{},"5-10 разів",". Різниця між 2 годинами та 20 годинами тренування.",[5210,5232,5235,5236,5239],{"icon":5233,"title":5234},"i-lucide-trending-up","📊 Фінальна якість моделі","Глибокі мережі (10+ шарів) із поганою ініціалізацією часто застрягають у ",[5198,5237,5238],{},"погіршених локальних мінімумах",", досягаючи 70% accuracy там, де правильна ініціалізація дає 85%.",[5191,5241,5242],{},"Уявіть альпініста, який збирається підкорити вершину. Якщо він стартує з підніжжя гори (правильна ініціалізація), шлях довгий, але досяжний. Якщо ж його телепортувати на дно глибокої ущелини (погана ініціалізація), він витратить весь час, намагаючись вибратися, і ніколи не досягне вершини.",[5207,5244,5245,5275],{},[5210,5246,5248],{"icon":5212,"title":5247},"🎯 Мета статті",[5249,5250,5251,5255,5258,5261,5264,5272],"ul",{},[5252,5253,5254],"li",{},"Зрозуміти, чому нульова та константна ініціалізація не працюють (проблема симетрії)",[5252,5256,5257],{},"Дослідити наївний підхід випадкової ініціалізації та його недоліки",[5252,5259,5260],{},"Опанувати математику Xavier\u002FGlorot ініціалізації для tanh\u002Fsigmoid активацій",[5252,5262,5263],{},"Вивчити He ініціалізацію, спеціально розроблену для ReLU",[5252,5265,5266,5267,5271],{},"Навчитися використовувати ",[5268,5269,5270],"code",{},"nn.init"," модуль PyTorch",[5252,5273,5274],{},"Провести експеримент на глибокій мережі, порівнюючи різні методи",[5210,5276,5278],{"icon":4618,"title":5277},"🔑 Ключові терміни",[5249,5279,5280,5286,5292,5298,5304],{},[5252,5281,5282,5285],{},[5198,5283,5284],{},"Symmetry Breaking:"," порушення симетрії — необхідність різних початкових ваг для різних нейронів",[5252,5287,5288,5291],{},[5198,5289,5290],{},"Vanishing\u002FExploding Gradients:"," зникаючі\u002Fвибухаючі градієнти через неправильну дисперсію ваг",[5252,5293,5294,5297],{},[5198,5295,5296],{},"Xavier\u002FGlorot Initialization:"," ініціалізація для збереження дисперсії активацій у мережах з tanh\u002Fsigmoid",[5252,5299,5300,5303],{},[5198,5301,5302],{},"He Initialization:"," модифікація Xavier для ReLU активацій (Kaiming He, 2015)",[5252,5305,5306,5309],{},[5198,5307,5308],{},"Fan-in \u002F Fan-out:"," кількість входів та виходів нейрона (використовується у формулах ініціалізації)",[5311,5312],"hr",{},[5186,5314,5316],{"id":5315},"проблема-1-нульова-ініціалізація-мертва-мережа","Проблема 1: Нульова ініціалізація — мертва мережа",[5191,5318,5319,5320,5323,5324,5327],{},"Найбільш інтуїтивний підхід: ",[5198,5321,5322],{},"ініціалізувати всі ваги нулями",". Логіка проста — модель «не знає нічого», тому почнемо з нуля, а градієнтний спуск сам знайде правильні значення. На жаль, це ",[5198,5325,5326],{},"фундаментально не працює",".",[5329,5330,5332],"h3",{"id":5331},"експеримент-спроба-навчити-модель-із-нульовими-вагами","Експеримент: спроба навчити модель із нульовими вагами",[5334,5335,5338,5349,5960],"jupyter-notebook",{"title":5336,"kernel":5337},"zero_initialization_failure.ipynb","Python 3.11 (ipykernel)",[5339,5340,5342,5346],"jupyter-cell",{"type":5341},"markdown",[5329,5343,5345],{"id":5344},"побудова-простої-двошарової-мережі","Побудова простої двошарової мережі",[5191,5347,5348],{},"Створимо мережу з двома прихованими шарами для класифікації MNIST. Спочатку ініціалізуємо всі ваги нулями.",[5339,5350,5353,5883],{"execution-count":5351,"execution-time":5352},"1","0.28s",[5354,5355,5360],"pre",{"className":5356,"code":5357,"language":5358,"meta":5359,"style":5359},"language-python shiki shiki-themes light-plus dark-plus dark-plus","import torch\nimport torch.nn as nn\nimport torch.optim as optim\nfrom torch.utils.data import DataLoader\nfrom torchvision import datasets, transforms\n\n# Простий MLP\nclass SimpleMLP(nn.Module):\n    def __init__(self):\n        super(SimpleMLP, self).__init__()\n        self.fc1 = nn.Linear(784, 256)\n        self.fc2 = nn.Linear(256, 128)\n        self.fc3 = nn.Linear(128, 10)\n        self.relu = nn.ReLU()\n    \n    def forward(self, x):\n        x = x.view(x.size(0), -1)  # Flatten\n        x = self.relu(self.fc1(x))\n        x = self.relu(self.fc2(x))\n        x = self.fc3(x)\n        return x\n\n# Створення моделі\ndevice = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\nmodel = SimpleMLP().to(device)\n\n# Нульова ініціалізація всіх ваг\ndef init_weights_zero(m):\n    if isinstance(m, nn.Linear):\n        nn.init.constant_(m.weight, 0.0)\n        nn.init.constant_(m.bias, 0.0)\n\nmodel.apply(init_weights_zero)\n\n# Перевірка ваг\nprint(\"🔍 Перевірка ваг після нульової ініціалізації:\\n\")\nfor name, param in model.named_parameters():\n    if 'weight' in name:\n        print(f\"{name:20s} | Mean: {param.mean().item():.6f} | Std: {param.std().item():.6f}\")\n","python","",[5268,5361,5362,5375,5389,5402,5416,5429,5436,5443,5468,5486,5506,5528,5545,5562,5570,5576,5595,5615,5631,5645,5655,5664,5669,5675,5699,5705,5710,5716,5732,5744,5755,5765,5770,5776,5781,5787,5807,5822,5836],{"__ignoreMap":5359},[5363,5364,5367,5371],"span",{"class":5365,"line":5366},"line",1,[5363,5368,5370],{"class":5369},"s8xlr","import",[5363,5372,5374],{"class":5373},"sHH4Y"," torch\n",[5363,5376,5378,5380,5383,5386],{"class":5365,"line":5377},2,[5363,5379,5370],{"class":5369},[5363,5381,5382],{"class":5373}," torch.nn ",[5363,5384,5385],{"class":5369},"as",[5363,5387,5388],{"class":5373}," nn\n",[5363,5390,5392,5394,5397,5399],{"class":5365,"line":5391},3,[5363,5393,5370],{"class":5369},[5363,5395,5396],{"class":5373}," torch.optim ",[5363,5398,5385],{"class":5369},[5363,5400,5401],{"class":5373}," optim\n",[5363,5403,5405,5408,5411,5413],{"class":5365,"line":5404},4,[5363,5406,5407],{"class":5369},"from",[5363,5409,5410],{"class":5373}," torch.utils.data ",[5363,5412,5370],{"class":5369},[5363,5414,5415],{"class":5373}," DataLoader\n",[5363,5417,5419,5421,5424,5426],{"class":5365,"line":5418},5,[5363,5420,5407],{"class":5369},[5363,5422,5423],{"class":5373}," torchvision ",[5363,5425,5370],{"class":5369},[5363,5427,5428],{"class":5373}," datasets, transforms\n",[5363,5430,5432],{"class":5365,"line":5431},6,[5363,5433,5435],{"emptyLinePlaceholder":5434},true,"\n",[5363,5437,5439],{"class":5365,"line":5438},7,[5363,5440,5442],{"class":5441},"spJ8K","# Простий MLP\n",[5363,5444,5446,5450,5454,5457,5460,5462,5465],{"class":5365,"line":5445},8,[5363,5447,5449],{"class":5448},"su1O8","class",[5363,5451,5453],{"class":5452},"sN1BT"," SimpleMLP",[5363,5455,5456],{"class":5373},"(",[5363,5458,5459],{"class":5452},"nn",[5363,5461,5327],{"class":5373},[5363,5463,5464],{"class":5452},"Module",[5363,5466,5467],{"class":5373},"):\n",[5363,5469,5471,5474,5478,5480,5484],{"class":5365,"line":5470},9,[5363,5472,5473],{"class":5448},"    def",[5363,5475,5477],{"class":5476},"s8Opu"," __init__",[5363,5479,5456],{"class":5373},[5363,5481,5483],{"class":5482},"siwwj","self",[5363,5485,5467],{"class":5373},[5363,5487,5489,5492,5495,5497,5500,5503],{"class":5365,"line":5488},10,[5363,5490,5491],{"class":5452},"        super",[5363,5493,5494],{"class":5373},"(SimpleMLP, ",[5363,5496,5483],{"class":5448},[5363,5498,5499],{"class":5373},").",[5363,5501,5502],{"class":5476},"__init__",[5363,5504,5505],{"class":5373},"()\n",[5363,5507,5509,5512,5515,5519,5522,5525],{"class":5365,"line":5508},11,[5363,5510,5511],{"class":5448},"        self",[5363,5513,5514],{"class":5373},".fc1 = nn.Linear(",[5363,5516,5518],{"class":5517},"sJj4R","784",[5363,5520,5521],{"class":5373},", ",[5363,5523,5524],{"class":5517},"256",[5363,5526,5527],{"class":5373},")\n",[5363,5529,5531,5533,5536,5538,5540,5543],{"class":5365,"line":5530},12,[5363,5532,5511],{"class":5448},[5363,5534,5535],{"class":5373},".fc2 = nn.Linear(",[5363,5537,5524],{"class":5517},[5363,5539,5521],{"class":5373},[5363,5541,5542],{"class":5517},"128",[5363,5544,5527],{"class":5373},[5363,5546,5548,5550,5553,5555,5557,5560],{"class":5365,"line":5547},13,[5363,5549,5511],{"class":5448},[5363,5551,5552],{"class":5373},".fc3 = nn.Linear(",[5363,5554,5542],{"class":5517},[5363,5556,5521],{"class":5373},[5363,5558,5559],{"class":5517},"10",[5363,5561,5527],{"class":5373},[5363,5563,5565,5567],{"class":5365,"line":5564},14,[5363,5566,5511],{"class":5448},[5363,5568,5569],{"class":5373},".relu = nn.ReLU()\n",[5363,5571,5573],{"class":5365,"line":5572},15,[5363,5574,5575],{"class":5373},"    \n",[5363,5577,5579,5581,5584,5586,5588,5590,5593],{"class":5365,"line":5578},16,[5363,5580,5473],{"class":5448},[5363,5582,5583],{"class":5476}," forward",[5363,5585,5456],{"class":5373},[5363,5587,5483],{"class":5482},[5363,5589,5521],{"class":5373},[5363,5591,5592],{"class":5482},"x",[5363,5594,5467],{"class":5373},[5363,5596,5598,5601,5604,5607,5609,5612],{"class":5365,"line":5597},17,[5363,5599,5600],{"class":5373},"        x = x.view(x.size(",[5363,5602,5603],{"class":5517},"0",[5363,5605,5606],{"class":5373},"), -",[5363,5608,5351],{"class":5517},[5363,5610,5611],{"class":5373},")  ",[5363,5613,5614],{"class":5441},"# Flatten\n",[5363,5616,5618,5621,5623,5626,5628],{"class":5365,"line":5617},18,[5363,5619,5620],{"class":5373},"        x = ",[5363,5622,5483],{"class":5448},[5363,5624,5625],{"class":5373},".relu(",[5363,5627,5483],{"class":5448},[5363,5629,5630],{"class":5373},".fc1(x))\n",[5363,5632,5634,5636,5638,5640,5642],{"class":5365,"line":5633},19,[5363,5635,5620],{"class":5373},[5363,5637,5483],{"class":5448},[5363,5639,5625],{"class":5373},[5363,5641,5483],{"class":5448},[5363,5643,5644],{"class":5373},".fc2(x))\n",[5363,5646,5648,5650,5652],{"class":5365,"line":5647},20,[5363,5649,5620],{"class":5373},[5363,5651,5483],{"class":5448},[5363,5653,5654],{"class":5373},".fc3(x)\n",[5363,5656,5658,5661],{"class":5365,"line":5657},21,[5363,5659,5660],{"class":5369},"        return",[5363,5662,5663],{"class":5373}," x\n",[5363,5665,5667],{"class":5365,"line":5666},22,[5363,5668,5435],{"emptyLinePlaceholder":5434},[5363,5670,5672],{"class":5365,"line":5671},23,[5363,5673,5674],{"class":5441},"# Створення моделі\n",[5363,5676,5678,5681,5685,5688,5691,5694,5697],{"class":5365,"line":5677},24,[5363,5679,5680],{"class":5373},"device = torch.device(",[5363,5682,5684],{"class":5683},"sbdoH","'cuda'",[5363,5686,5687],{"class":5369}," if",[5363,5689,5690],{"class":5373}," torch.cuda.is_available() ",[5363,5692,5693],{"class":5369},"else",[5363,5695,5696],{"class":5683}," 'cpu'",[5363,5698,5527],{"class":5373},[5363,5700,5702],{"class":5365,"line":5701},25,[5363,5703,5704],{"class":5373},"model = SimpleMLP().to(device)\n",[5363,5706,5708],{"class":5365,"line":5707},26,[5363,5709,5435],{"emptyLinePlaceholder":5434},[5363,5711,5713],{"class":5365,"line":5712},27,[5363,5714,5715],{"class":5441},"# Нульова ініціалізація всіх ваг\n",[5363,5717,5719,5722,5725,5727,5730],{"class":5365,"line":5718},28,[5363,5720,5721],{"class":5448},"def",[5363,5723,5724],{"class":5476}," init_weights_zero",[5363,5726,5456],{"class":5373},[5363,5728,5729],{"class":5482},"m",[5363,5731,5467],{"class":5373},[5363,5733,5735,5738,5741],{"class":5365,"line":5734},29,[5363,5736,5737],{"class":5369},"    if",[5363,5739,5740],{"class":5476}," isinstance",[5363,5742,5743],{"class":5373},"(m, nn.Linear):\n",[5363,5745,5747,5750,5753],{"class":5365,"line":5746},30,[5363,5748,5749],{"class":5373},"        nn.init.constant_(m.weight, ",[5363,5751,5752],{"class":5517},"0.0",[5363,5754,5527],{"class":5373},[5363,5756,5758,5761,5763],{"class":5365,"line":5757},31,[5363,5759,5760],{"class":5373},"        nn.init.constant_(m.bias, ",[5363,5762,5752],{"class":5517},[5363,5764,5527],{"class":5373},[5363,5766,5768],{"class":5365,"line":5767},32,[5363,5769,5435],{"emptyLinePlaceholder":5434},[5363,5771,5773],{"class":5365,"line":5772},33,[5363,5774,5775],{"class":5373},"model.apply(init_weights_zero)\n",[5363,5777,5779],{"class":5365,"line":5778},34,[5363,5780,5435],{"emptyLinePlaceholder":5434},[5363,5782,5784],{"class":5365,"line":5783},35,[5363,5785,5786],{"class":5441},"# Перевірка ваг\n",[5363,5788,5790,5793,5795,5798,5802,5805],{"class":5365,"line":5789},36,[5363,5791,5792],{"class":5476},"print",[5363,5794,5456],{"class":5373},[5363,5796,5797],{"class":5683},"\"🔍 Перевірка ваг після нульової ініціалізації:",[5363,5799,5801],{"class":5800},"sjcCO","\\n",[5363,5803,5804],{"class":5683},"\"",[5363,5806,5527],{"class":5373},[5363,5808,5810,5813,5816,5819],{"class":5365,"line":5809},37,[5363,5811,5812],{"class":5369},"for",[5363,5814,5815],{"class":5373}," name, param ",[5363,5817,5818],{"class":5369},"in",[5363,5820,5821],{"class":5373}," model.named_parameters():\n",[5363,5823,5825,5827,5830,5833],{"class":5365,"line":5824},38,[5363,5826,5737],{"class":5369},[5363,5828,5829],{"class":5683}," 'weight'",[5363,5831,5832],{"class":5448}," in",[5363,5834,5835],{"class":5373}," name:\n",[5363,5837,5839,5842,5844,5847,5849,5852,5855,5858,5861,5863,5866,5869,5872,5874,5877,5879,5881],{"class":5365,"line":5838},39,[5363,5840,5841],{"class":5476},"        print",[5363,5843,5456],{"class":5373},[5363,5845,5846],{"class":5448},"f",[5363,5848,5804],{"class":5683},[5363,5850,5851],{"class":5448},"{",[5363,5853,5854],{"class":5373},"name",[5363,5856,5857],{"class":5448},":20s}",[5363,5859,5860],{"class":5683}," | Mean: ",[5363,5862,5851],{"class":5448},[5363,5864,5865],{"class":5373},"param.mean().item()",[5363,5867,5868],{"class":5448},":.6f}",[5363,5870,5871],{"class":5683}," | Std: ",[5363,5873,5851],{"class":5448},[5363,5875,5876],{"class":5373},"param.std().item()",[5363,5878,5868],{"class":5448},[5363,5880,5804],{"class":5683},[5363,5882,5527],{"class":5373},[5884,5885,5886,5892],"template",{"v-slot:output":5359},[5191,5887,5888,5889],{},"🔍 ",[5198,5890,5891],{},"Перевірка ваг після нульової ініціалізації:",[5893,5894,5895,5915],"table",{},[5896,5897,5898],"thead",{},[5899,5900,5901,5906,5909,5912],"tr",{},[5902,5903,5905],"th",{"align":5904},"left","Шар",[5902,5907,5908],{"align":5904},"Mean",[5902,5910,5911],{"align":5904},"Std",[5902,5913,5914],{"align":5904},"Унікальних значень",[5916,5917,5918,5934,5947],"tbody",{},[5899,5919,5920,5926,5929,5931],{},[5921,5922,5923],"td",{"align":5904},[5268,5924,5925],{},"fc1.weight",[5921,5927,5928],{"align":5904},"0.000000",[5921,5930,5928],{"align":5904},[5921,5932,5933],{"align":5904},"1 (всі нулі)",[5899,5935,5936,5941,5943,5945],{},[5921,5937,5938],{"align":5904},[5268,5939,5940],{},"fc2.weight",[5921,5942,5928],{"align":5904},[5921,5944,5928],{"align":5904},[5921,5946,5933],{"align":5904},[5899,5948,5949,5954,5956,5958],{},[5921,5950,5951],{"align":5904},[5268,5952,5953],{},"fc3.weight",[5921,5955,5928],{"align":5904},[5921,5957,5928],{"align":5904},[5921,5959,5933],{"align":5904},[5339,5961,5964,6355],{"execution-count":5962,"execution-time":5963},"2","1.42s",[5354,5965,5967],{"className":5356,"code":5966,"language":5358,"meta":5359,"style":5359},"# Завантаження MNIST\ntransform = transforms.Compose([\n    transforms.ToTensor(),\n    transforms.Normalize((0.1307,), (0.3081,))\n])\n\ntrain_dataset = datasets.MNIST('.\u002Fdata', train=True, download=True, transform=transform)\ntrain_loader = DataLoader(train_dataset, batch_size=128, shuffle=True, num_workers=2)\n\n# Візьмемо один батч та пропустимо через модель\nimages, labels = next(iter(train_loader))\nimages, labels = images.to(device), labels.to(device)\n\n# Forward pass\nmodel.eval()\nwith torch.no_grad():\n    outputs = model(images)\n    \nprint(\"📊 Аналіз виходів мережі з нульовими вагами:\\n\")\nprint(f\"Форма виходу: {outputs.shape}\")\nprint(f\"Перші 5 прикладів (logits для 10 класів):\\n\")\n\nfor i in range(5):\n    print(f\"Приклад {i+1}: {outputs[i].cpu().numpy()}\")\n\n# Перевірка унікальності виходів\nunique_outputs = torch.unique(outputs, dim=0)\nprint(f\"\\n⚠️ Кількість унікальних виходів серед {len(outputs)} прикладів: {len(unique_outputs)}\")\nprint(f\"   Всі приклади дають {'ІДЕНТИЧНИЙ' if len(unique_outputs) == 1 else 'різний'} вихід!\")\n",[5268,5968,5969,5974,5979,5984,6001,6006,6010,6046,6078,6082,6087,6103,6108,6112,6117,6122,6130,6135,6139,6154,6177,6194,6198,6217,6252,6256,6261,6275,6316],{"__ignoreMap":5359},[5363,5970,5971],{"class":5365,"line":5366},[5363,5972,5973],{"class":5441},"# Завантаження MNIST\n",[5363,5975,5976],{"class":5365,"line":5377},[5363,5977,5978],{"class":5373},"transform = transforms.Compose([\n",[5363,5980,5981],{"class":5365,"line":5391},[5363,5982,5983],{"class":5373},"    transforms.ToTensor(),\n",[5363,5985,5986,5989,5992,5995,5998],{"class":5365,"line":5404},[5363,5987,5988],{"class":5373},"    transforms.Normalize((",[5363,5990,5991],{"class":5517},"0.1307",[5363,5993,5994],{"class":5373},",), (",[5363,5996,5997],{"class":5517},"0.3081",[5363,5999,6000],{"class":5373},",))\n",[5363,6002,6003],{"class":5365,"line":5418},[5363,6004,6005],{"class":5373},"])\n",[5363,6007,6008],{"class":5365,"line":5431},[5363,6009,5435],{"emptyLinePlaceholder":5434},[5363,6011,6012,6015,6018,6020,6023,6026,6029,6031,6034,6036,6038,6040,6043],{"class":5365,"line":5438},[5363,6013,6014],{"class":5373},"train_dataset = datasets.MNIST(",[5363,6016,6017],{"class":5683},"'.\u002Fdata'",[5363,6019,5521],{"class":5373},[5363,6021,6022],{"class":5482},"train",[5363,6024,6025],{"class":5373},"=",[5363,6027,6028],{"class":5448},"True",[5363,6030,5521],{"class":5373},[5363,6032,6033],{"class":5482},"download",[5363,6035,6025],{"class":5373},[5363,6037,6028],{"class":5448},[5363,6039,5521],{"class":5373},[5363,6041,6042],{"class":5482},"transform",[5363,6044,6045],{"class":5373},"=transform)\n",[5363,6047,6048,6051,6054,6056,6058,6060,6063,6065,6067,6069,6072,6074,6076],{"class":5365,"line":5445},[5363,6049,6050],{"class":5373},"train_loader = DataLoader(train_dataset, ",[5363,6052,6053],{"class":5482},"batch_size",[5363,6055,6025],{"class":5373},[5363,6057,5542],{"class":5517},[5363,6059,5521],{"class":5373},[5363,6061,6062],{"class":5482},"shuffle",[5363,6064,6025],{"class":5373},[5363,6066,6028],{"class":5448},[5363,6068,5521],{"class":5373},[5363,6070,6071],{"class":5482},"num_workers",[5363,6073,6025],{"class":5373},[5363,6075,5962],{"class":5517},[5363,6077,5527],{"class":5373},[5363,6079,6080],{"class":5365,"line":5470},[5363,6081,5435],{"emptyLinePlaceholder":5434},[5363,6083,6084],{"class":5365,"line":5488},[5363,6085,6086],{"class":5441},"# Візьмемо один батч та пропустимо через модель\n",[5363,6088,6089,6092,6095,6097,6100],{"class":5365,"line":5508},[5363,6090,6091],{"class":5373},"images, labels = ",[5363,6093,6094],{"class":5476},"next",[5363,6096,5456],{"class":5373},[5363,6098,6099],{"class":5476},"iter",[5363,6101,6102],{"class":5373},"(train_loader))\n",[5363,6104,6105],{"class":5365,"line":5530},[5363,6106,6107],{"class":5373},"images, labels = images.to(device), labels.to(device)\n",[5363,6109,6110],{"class":5365,"line":5547},[5363,6111,5435],{"emptyLinePlaceholder":5434},[5363,6113,6114],{"class":5365,"line":5564},[5363,6115,6116],{"class":5441},"# Forward pass\n",[5363,6118,6119],{"class":5365,"line":5572},[5363,6120,6121],{"class":5373},"model.eval()\n",[5363,6123,6124,6127],{"class":5365,"line":5578},[5363,6125,6126],{"class":5369},"with",[5363,6128,6129],{"class":5373}," torch.no_grad():\n",[5363,6131,6132],{"class":5365,"line":5597},[5363,6133,6134],{"class":5373},"    outputs = model(images)\n",[5363,6136,6137],{"class":5365,"line":5617},[5363,6138,5575],{"class":5373},[5363,6140,6141,6143,6145,6148,6150,6152],{"class":5365,"line":5633},[5363,6142,5792],{"class":5476},[5363,6144,5456],{"class":5373},[5363,6146,6147],{"class":5683},"\"📊 Аналіз виходів мережі з нульовими вагами:",[5363,6149,5801],{"class":5800},[5363,6151,5804],{"class":5683},[5363,6153,5527],{"class":5373},[5363,6155,6156,6158,6160,6162,6165,6167,6170,6173,6175],{"class":5365,"line":5647},[5363,6157,5792],{"class":5476},[5363,6159,5456],{"class":5373},[5363,6161,5846],{"class":5448},[5363,6163,6164],{"class":5683},"\"Форма виходу: ",[5363,6166,5851],{"class":5448},[5363,6168,6169],{"class":5373},"outputs.shape",[5363,6171,6172],{"class":5448},"}",[5363,6174,5804],{"class":5683},[5363,6176,5527],{"class":5373},[5363,6178,6179,6181,6183,6185,6188,6190,6192],{"class":5365,"line":5657},[5363,6180,5792],{"class":5476},[5363,6182,5456],{"class":5373},[5363,6184,5846],{"class":5448},[5363,6186,6187],{"class":5683},"\"Перші 5 прикладів (logits для 10 класів):",[5363,6189,5801],{"class":5800},[5363,6191,5804],{"class":5683},[5363,6193,5527],{"class":5373},[5363,6195,6196],{"class":5365,"line":5666},[5363,6197,5435],{"emptyLinePlaceholder":5434},[5363,6199,6200,6202,6205,6207,6210,6212,6215],{"class":5365,"line":5671},[5363,6201,5812],{"class":5369},[5363,6203,6204],{"class":5373}," i ",[5363,6206,5818],{"class":5369},[5363,6208,6209],{"class":5476}," range",[5363,6211,5456],{"class":5373},[5363,6213,6214],{"class":5517},"5",[5363,6216,5467],{"class":5373},[5363,6218,6219,6222,6224,6226,6229,6231,6234,6236,6238,6241,6243,6246,6248,6250],{"class":5365,"line":5677},[5363,6220,6221],{"class":5476},"    print",[5363,6223,5456],{"class":5373},[5363,6225,5846],{"class":5448},[5363,6227,6228],{"class":5683},"\"Приклад ",[5363,6230,5851],{"class":5448},[5363,6232,6233],{"class":5373},"i+",[5363,6235,5351],{"class":5517},[5363,6237,6172],{"class":5448},[5363,6239,6240],{"class":5683},": ",[5363,6242,5851],{"class":5448},[5363,6244,6245],{"class":5373},"outputs[i].cpu().numpy()",[5363,6247,6172],{"class":5448},[5363,6249,5804],{"class":5683},[5363,6251,5527],{"class":5373},[5363,6253,6254],{"class":5365,"line":5701},[5363,6255,5435],{"emptyLinePlaceholder":5434},[5363,6257,6258],{"class":5365,"line":5707},[5363,6259,6260],{"class":5441},"# Перевірка унікальності виходів\n",[5363,6262,6263,6266,6269,6271,6273],{"class":5365,"line":5712},[5363,6264,6265],{"class":5373},"unique_outputs = torch.unique(outputs, ",[5363,6267,6268],{"class":5482},"dim",[5363,6270,6025],{"class":5373},[5363,6272,5603],{"class":5517},[5363,6274,5527],{"class":5373},[5363,6276,6277,6279,6281,6283,6285,6287,6290,6292,6295,6298,6300,6303,6305,6307,6310,6312,6314],{"class":5365,"line":5718},[5363,6278,5792],{"class":5476},[5363,6280,5456],{"class":5373},[5363,6282,5846],{"class":5448},[5363,6284,5804],{"class":5683},[5363,6286,5801],{"class":5800},[5363,6288,6289],{"class":5683},"⚠️ Кількість унікальних виходів серед ",[5363,6291,5851],{"class":5448},[5363,6293,6294],{"class":5476},"len",[5363,6296,6297],{"class":5373},"(outputs)",[5363,6299,6172],{"class":5448},[5363,6301,6302],{"class":5683}," прикладів: ",[5363,6304,5851],{"class":5448},[5363,6306,6294],{"class":5476},[5363,6308,6309],{"class":5373},"(unique_outputs)",[5363,6311,6172],{"class":5448},[5363,6313,5804],{"class":5683},[5363,6315,5527],{"class":5373},[5363,6317,6318,6320,6322,6324,6327,6329,6332,6334,6337,6340,6342,6345,6348,6350,6353],{"class":5365,"line":5734},[5363,6319,5792],{"class":5476},[5363,6321,5456],{"class":5373},[5363,6323,5846],{"class":5448},[5363,6325,6326],{"class":5683},"\"   Всі приклади дають ",[5363,6328,5851],{"class":5448},[5363,6330,6331],{"class":5683},"'ІДЕНТИЧНИЙ'",[5363,6333,5687],{"class":5369},[5363,6335,6336],{"class":5476}," len",[5363,6338,6339],{"class":5373},"(unique_outputs) == ",[5363,6341,5351],{"class":5517},[5363,6343,6344],{"class":5369}," else",[5363,6346,6347],{"class":5683}," 'різний'",[5363,6349,6172],{"class":5448},[5363,6351,6352],{"class":5683}," вихід!\"",[5363,6354,5527],{"class":5373},[5884,6356,6357,6363,6369,6374,6382],{"v-slot:output":5359},[5191,6358,6359,6360],{},"📊 ",[5198,6361,6362],{},"Аналіз виходів мережі з нульовими вагами:",[5191,6364,6365,6366],{},"Форма виходу: ",[5268,6367,6368],{},"torch.Size([128, 10])",[5191,6370,6371],{},[5198,6372,6373],{},"Перші 5 прикладів (logits для 10 класів):",[5354,6375,6380],{"className":6376,"code":6378,"language":6379},[6377],"language-text","Приклад 1: [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\nПриклад 2: [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\nПриклад 3: [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\nПриклад 4: [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\nПриклад 5: [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n","text",[5268,6381,6378],{"__ignoreMap":5359},[5191,6383,6384,6385,6388,6391,6392,6395],{},"⚠️ ",[5198,6386,6387],{},"Кількість унікальних виходів серед 128 прикладів: 1",[6389,6390],"br",{},"\nВсі приклади дають ",[5198,6393,6394],{},"ІДЕНТИЧНИЙ"," вихід! 🚨",[6397,6398,6399,6404],"warning",{},[5191,6400,6401],{},[5198,6402,6403],{},"Критична проблема:",[5191,6405,6406,6407,6410,6411,5327],{},"Модель із нульовими вагами перетворює ",[5198,6408,6409],{},"будь-який вхід"," на вектор нулів. Незалежно від того, чи це цифра «0», чи «9», чи навіть випадковий шум — вихід завжди ",[5268,6412,6413],{},"[0, 0, 0, ..., 0]",[5329,6415,6417],{"id":6416},"що-відбувається-під-час-backward-pass","Що відбувається під час backward pass?",[5191,6419,6420],{},"Тепер спробуймо навчити таку модель та подивимося на градієнти:",[5339,6422,6425,6829],{"execution-count":6423,"execution-time":6424},"3","0.85s",[5354,6426,6428],{"className":5356,"code":6427,"language":5358,"meta":5359,"style":5359},"# Ініціалізуємо модель заново з нульовими вагами\nmodel = SimpleMLP().to(device)\nmodel.apply(init_weights_zero)\n\ncriterion = nn.CrossEntropyLoss()\noptimizer = optim.SGD(model.parameters(), lr=0.01)\n\n# Один крок навчання\nmodel.train()\nimages, labels = next(iter(train_loader))\nimages, labels = images.to(device), labels.to(device)\n\n# Forward pass\noutputs = model(images)\nloss = criterion(outputs, labels)\n\n# Backward pass\noptimizer.zero_grad()\nloss.backward()\n\n# Аналіз градієнтів\nprint(\"🔍 Аналіз градієнтів після backward pass:\\n\")\nfor name, param in model.named_parameters():\n    if param.grad is not None and 'weight' in name:\n        grad_mean = param.grad.mean().item()\n        grad_std = param.grad.std().item()\n        unique_grads = torch.unique(param.grad, dim=1 if param.grad.ndim > 1 else 0)\n        \n        print(f\"{name:20s}\")\n        print(f\"  Mean градієнта: {grad_mean:.8f}\")\n        print(f\"  Std градієнта:  {grad_std:.8f}\")\n        print(f\"  Унікальних рядків: {len(unique_grads)}\")\n        \n        # Перевірка симетрії: чи всі рядки однакові?\n        if param.grad.ndim == 2:\n            first_row = param.grad[0]\n            all_same = all(torch.allclose(param.grad[i], first_row) for i in range(min(5, param.grad.size(0))))\n            print(f\"  Симетрія: {'ВСІ РЯДКИ ІДЕНТИЧНІ ❌' if all_same else 'Рядки різні ✅'}\")\n        print()\n",[5268,6429,6430,6435,6439,6443,6447,6452,6467,6471,6476,6481,6493,6497,6501,6505,6510,6515,6519,6524,6529,6534,6538,6543,6558,6568,6593,6598,6603,6628,6633,6653,6676,6698,6722,6726,6731,6744,6754,6790,6823],{"__ignoreMap":5359},[5363,6431,6432],{"class":5365,"line":5366},[5363,6433,6434],{"class":5441},"# Ініціалізуємо модель заново з нульовими вагами\n",[5363,6436,6437],{"class":5365,"line":5377},[5363,6438,5704],{"class":5373},[5363,6440,6441],{"class":5365,"line":5391},[5363,6442,5775],{"class":5373},[5363,6444,6445],{"class":5365,"line":5404},[5363,6446,5435],{"emptyLinePlaceholder":5434},[5363,6448,6449],{"class":5365,"line":5418},[5363,6450,6451],{"class":5373},"criterion = nn.CrossEntropyLoss()\n",[5363,6453,6454,6457,6460,6462,6465],{"class":5365,"line":5431},[5363,6455,6456],{"class":5373},"optimizer = optim.SGD(model.parameters(), ",[5363,6458,6459],{"class":5482},"lr",[5363,6461,6025],{"class":5373},[5363,6463,6464],{"class":5517},"0.01",[5363,6466,5527],{"class":5373},[5363,6468,6469],{"class":5365,"line":5438},[5363,6470,5435],{"emptyLinePlaceholder":5434},[5363,6472,6473],{"class":5365,"line":5445},[5363,6474,6475],{"class":5441},"# Один крок навчання\n",[5363,6477,6478],{"class":5365,"line":5470},[5363,6479,6480],{"class":5373},"model.train()\n",[5363,6482,6483,6485,6487,6489,6491],{"class":5365,"line":5488},[5363,6484,6091],{"class":5373},[5363,6486,6094],{"class":5476},[5363,6488,5456],{"class":5373},[5363,6490,6099],{"class":5476},[5363,6492,6102],{"class":5373},[5363,6494,6495],{"class":5365,"line":5508},[5363,6496,6107],{"class":5373},[5363,6498,6499],{"class":5365,"line":5530},[5363,6500,5435],{"emptyLinePlaceholder":5434},[5363,6502,6503],{"class":5365,"line":5547},[5363,6504,6116],{"class":5441},[5363,6506,6507],{"class":5365,"line":5564},[5363,6508,6509],{"class":5373},"outputs = model(images)\n",[5363,6511,6512],{"class":5365,"line":5572},[5363,6513,6514],{"class":5373},"loss = criterion(outputs, labels)\n",[5363,6516,6517],{"class":5365,"line":5578},[5363,6518,5435],{"emptyLinePlaceholder":5434},[5363,6520,6521],{"class":5365,"line":5597},[5363,6522,6523],{"class":5441},"# Backward pass\n",[5363,6525,6526],{"class":5365,"line":5617},[5363,6527,6528],{"class":5373},"optimizer.zero_grad()\n",[5363,6530,6531],{"class":5365,"line":5633},[5363,6532,6533],{"class":5373},"loss.backward()\n",[5363,6535,6536],{"class":5365,"line":5647},[5363,6537,5435],{"emptyLinePlaceholder":5434},[5363,6539,6540],{"class":5365,"line":5657},[5363,6541,6542],{"class":5441},"# Аналіз градієнтів\n",[5363,6544,6545,6547,6549,6552,6554,6556],{"class":5365,"line":5666},[5363,6546,5792],{"class":5476},[5363,6548,5456],{"class":5373},[5363,6550,6551],{"class":5683},"\"🔍 Аналіз градієнтів після backward pass:",[5363,6553,5801],{"class":5800},[5363,6555,5804],{"class":5683},[5363,6557,5527],{"class":5373},[5363,6559,6560,6562,6564,6566],{"class":5365,"line":5671},[5363,6561,5812],{"class":5369},[5363,6563,5815],{"class":5373},[5363,6565,5818],{"class":5369},[5363,6567,5821],{"class":5373},[5363,6569,6570,6572,6575,6578,6581,6584,6587,6589,6591],{"class":5365,"line":5677},[5363,6571,5737],{"class":5369},[5363,6573,6574],{"class":5373}," param.grad ",[5363,6576,6577],{"class":5448},"is",[5363,6579,6580],{"class":5448}," not",[5363,6582,6583],{"class":5448}," None",[5363,6585,6586],{"class":5448}," and",[5363,6588,5829],{"class":5683},[5363,6590,5832],{"class":5448},[5363,6592,5835],{"class":5373},[5363,6594,6595],{"class":5365,"line":5701},[5363,6596,6597],{"class":5373},"        grad_mean = param.grad.mean().item()\n",[5363,6599,6600],{"class":5365,"line":5707},[5363,6601,6602],{"class":5373},"        grad_std = param.grad.std().item()\n",[5363,6604,6605,6608,6610,6612,6614,6616,6619,6621,6623,6626],{"class":5365,"line":5712},[5363,6606,6607],{"class":5373},"        unique_grads = torch.unique(param.grad, ",[5363,6609,6268],{"class":5482},[5363,6611,6025],{"class":5373},[5363,6613,5351],{"class":5517},[5363,6615,5687],{"class":5369},[5363,6617,6618],{"class":5373}," param.grad.ndim > ",[5363,6620,5351],{"class":5517},[5363,6622,6344],{"class":5369},[5363,6624,6625],{"class":5517}," 0",[5363,6627,5527],{"class":5373},[5363,6629,6630],{"class":5365,"line":5718},[5363,6631,6632],{"class":5373},"        \n",[5363,6634,6635,6637,6639,6641,6643,6645,6647,6649,6651],{"class":5365,"line":5734},[5363,6636,5841],{"class":5476},[5363,6638,5456],{"class":5373},[5363,6640,5846],{"class":5448},[5363,6642,5804],{"class":5683},[5363,6644,5851],{"class":5448},[5363,6646,5854],{"class":5373},[5363,6648,5857],{"class":5448},[5363,6650,5804],{"class":5683},[5363,6652,5527],{"class":5373},[5363,6654,6655,6657,6659,6661,6664,6666,6669,6672,6674],{"class":5365,"line":5746},[5363,6656,5841],{"class":5476},[5363,6658,5456],{"class":5373},[5363,6660,5846],{"class":5448},[5363,6662,6663],{"class":5683},"\"  Mean градієнта: ",[5363,6665,5851],{"class":5448},[5363,6667,6668],{"class":5373},"grad_mean",[5363,6670,6671],{"class":5448},":.8f}",[5363,6673,5804],{"class":5683},[5363,6675,5527],{"class":5373},[5363,6677,6678,6680,6682,6684,6687,6689,6692,6694,6696],{"class":5365,"line":5757},[5363,6679,5841],{"class":5476},[5363,6681,5456],{"class":5373},[5363,6683,5846],{"class":5448},[5363,6685,6686],{"class":5683},"\"  Std градієнта:  ",[5363,6688,5851],{"class":5448},[5363,6690,6691],{"class":5373},"grad_std",[5363,6693,6671],{"class":5448},[5363,6695,5804],{"class":5683},[5363,6697,5527],{"class":5373},[5363,6699,6700,6702,6704,6706,6709,6711,6713,6716,6718,6720],{"class":5365,"line":5767},[5363,6701,5841],{"class":5476},[5363,6703,5456],{"class":5373},[5363,6705,5846],{"class":5448},[5363,6707,6708],{"class":5683},"\"  Унікальних рядків: ",[5363,6710,5851],{"class":5448},[5363,6712,6294],{"class":5476},[5363,6714,6715],{"class":5373},"(unique_grads)",[5363,6717,6172],{"class":5448},[5363,6719,5804],{"class":5683},[5363,6721,5527],{"class":5373},[5363,6723,6724],{"class":5365,"line":5772},[5363,6725,6632],{"class":5373},[5363,6727,6728],{"class":5365,"line":5778},[5363,6729,6730],{"class":5441},"        # Перевірка симетрії: чи всі рядки однакові?\n",[5363,6732,6733,6736,6739,6741],{"class":5365,"line":5783},[5363,6734,6735],{"class":5369},"        if",[5363,6737,6738],{"class":5373}," param.grad.ndim == ",[5363,6740,5962],{"class":5517},[5363,6742,6743],{"class":5373},":\n",[5363,6745,6746,6749,6751],{"class":5365,"line":5789},[5363,6747,6748],{"class":5373},"            first_row = param.grad[",[5363,6750,5603],{"class":5517},[5363,6752,6753],{"class":5373},"]\n",[5363,6755,6756,6759,6762,6765,6767,6769,6771,6773,6775,6778,6780,6782,6785,6787],{"class":5365,"line":5809},[5363,6757,6758],{"class":5373},"            all_same = ",[5363,6760,6761],{"class":5476},"all",[5363,6763,6764],{"class":5373},"(torch.allclose(param.grad[i], first_row) ",[5363,6766,5812],{"class":5369},[5363,6768,6204],{"class":5373},[5363,6770,5818],{"class":5369},[5363,6772,6209],{"class":5476},[5363,6774,5456],{"class":5373},[5363,6776,6777],{"class":5476},"min",[5363,6779,5456],{"class":5373},[5363,6781,6214],{"class":5517},[5363,6783,6784],{"class":5373},", param.grad.size(",[5363,6786,5603],{"class":5517},[5363,6788,6789],{"class":5373},"))))\n",[5363,6791,6792,6795,6797,6799,6802,6804,6807,6809,6812,6814,6817,6819,6821],{"class":5365,"line":5824},[5363,6793,6794],{"class":5476},"            print",[5363,6796,5456],{"class":5373},[5363,6798,5846],{"class":5448},[5363,6800,6801],{"class":5683},"\"  Симетрія: ",[5363,6803,5851],{"class":5448},[5363,6805,6806],{"class":5683},"'ВСІ РЯДКИ ІДЕНТИЧНІ ❌'",[5363,6808,5687],{"class":5369},[5363,6810,6811],{"class":5373}," all_same ",[5363,6813,5693],{"class":5369},[5363,6815,6816],{"class":5683}," 'Рядки різні ✅'",[5363,6818,6172],{"class":5448},[5363,6820,5804],{"class":5683},[5363,6822,5527],{"class":5373},[5363,6824,6825,6827],{"class":5365,"line":5838},[5363,6826,5841],{"class":5476},[5363,6828,5505],{"class":5373},[5884,6830,6831,6836,6843,6864,6871,6887,6894],{"v-slot:output":5359},[5191,6832,5888,6833],{},[5198,6834,6835],{},"Аналіз градієнтів після backward pass:",[5191,6837,6838,6842],{},[5198,6839,6840],{},[5268,6841,5925],{}," (розмір: 256 × 784)",[5249,6844,6845,6848,6851,6857],{},[5252,6846,6847],{},"Mean градієнта: 0.00000124",[5252,6849,6850],{},"Std градієнта: 0.00000000",[5252,6852,6853,6854,6856],{},"Унікальних рядків: ",[5198,6855,5351],{}," (з 256 можливих)",[5252,6858,6859,6860,6863],{},"Симетрія: ",[5198,6861,6862],{},"ВСІ РЯДКИ ІДЕНТИЧНІ"," ❌",[5191,6865,6866,6870],{},[5198,6867,6868],{},[5268,6869,5940],{}," (розмір: 128 × 256)",[5249,6872,6873,6876,6878,6883],{},[5252,6874,6875],{},"Mean градієнта: 0.00000087",[5252,6877,6850],{},[5252,6879,6853,6880,6882],{},[5198,6881,5351],{}," (з 128 можливих)",[5252,6884,6859,6885,6863],{},[5198,6886,6862],{},[5191,6888,6889,6893],{},[5198,6890,6891],{},[5268,6892,5953],{}," (розмір: 10 × 128)",[5249,6895,6896,6899,6902,6907],{},[5252,6897,6898],{},"Mean градієнта: -0.00001234",[5252,6900,6901],{},"Std градієнта: 0.00002156",[5252,6903,6853,6904,6906],{},[5198,6905,5559],{}," (всі різні)",[5252,6908,6909],{},"Симетрія: Рядки різні ✅",[5191,6911,6912],{},"::",[5329,6914,6916],{"id":6915},"математичне-пояснення-симетрії","Математичне пояснення симетрії",[5191,6918,6919,6920,6923,6924,6929],{},"Розглянемо, що відбувається у ",[5198,6921,6922],{},"першому прихованому шарі",". Нехай маємо ",[6925,6926],"math-formula",{"tex":6927,":inline":6928},"n","true"," нейронів, і всі ваги ініціалізовані нулями:",[6925,6931],{"tex":6932},"w_{ij}^{(1)} = 0 \\quad \\forall i, j",[5191,6934,6935,6936,6939,6940,6943],{},"Для будь-якого входу ",[6925,6937],{"tex":6938,":inline":6928},"\\mathbf{x}",", активація ",[6925,6941],{"tex":6942,":inline":6928},"i","-го нейрона:",[6925,6945],{"tex":6946},"z_i^{(1)} = \\sum_{j=1}^{d} w_{ij}^{(1)} x_j + b_i^{(1)} = 0 + 0 = 0",[5191,6948,6949],{},"Після функції активації (наприклад, ReLU):",[6925,6951],{"tex":6952},"a_i^{(1)} = \\text{ReLU}(0) = 0",[5191,6954,6955,6958,6959,6962],{},[5198,6956,6957],{},"Всі нейрони виводять нуль!"," Тепер розглянемо градієнти під час backpropagation. Градієнт втрат по вазі ",[6925,6960],{"tex":6961,":inline":6928},"w_{ij}^{(1)}"," обчислюється як:",[6925,6964],{"tex":6965},"\\frac{\\partial L}{\\partial w_{ij}^{(1)}} = \\frac{\\partial L}{\\partial z_i^{(1)}} \\cdot \\frac{\\partial z_i^{(1)}}{\\partial w_{ij}^{(1)}} = \\frac{\\partial L}{\\partial z_i^{(1)}} \\cdot x_j",[5191,6967,6968,6969,6972,6973,6976,6977,6979,6980,6983,6984,5499],{},"Оскільки всі ",[6925,6970],{"tex":6971,":inline":6928},"z_i^{(1)}"," однакові (нуль), то ",[6925,6974],{"tex":6975,":inline":6928},"\\frac{\\partial L}{\\partial z_i^{(1)}}"," також однакові для всіх ",[6925,6978],{"tex":6942,":inline":6928},". Отже, ",[5198,6981,6982],{},"всі нейрони отримують однаковий градієнт"," (з точністю до множника ",[6925,6985],{"tex":6986,":inline":6928},"x_j",[5191,6988,6989],{},"Після оновлення ваг:",[6925,6991],{"tex":6992},"w_{ij}^{(1)} \\leftarrow 0 - \\eta \\cdot \\delta \\cdot x_j",[5191,6994,6995,6996,6999,7000,7003,7004,7007],{},"Де ",[6925,6997],{"tex":6998,":inline":6928},"\\delta"," — ",[5198,7001,7002],{},"однаковий для всіх нейронів",". Це означає, що після першого оновлення всі нейрони отримують ",[5198,7005,7006],{},"пропорційні ваги",", і симетрія зберігається на всіх наступних ітераціях!",[7009,7010,7011,7016],"note",{},[5191,7012,7013],{},[5198,7014,7015],{},"Висновок:",[5191,7017,7018,7019,7022,7023,7026],{},"Нульова ініціалізація призводить до ",[5198,7020,7021],{},"повної симетрії нейронів"," у кожному шарі. Вони обчислюють однакові значення, отримують однакові градієнти та оновлюються однаково. Фактично, мережа з 256 нейронами у прихованому шарі еквівалентна мережі з ",[5198,7024,7025],{},"одним нейроном",", помноженим на 256. Це величезна втрата виразності моделі.",[5311,7028],{},[5186,7030,7032],{"id":7031},"проблема-2-випадкова-ініціалізація-з-великою-дисперсією","Проблема 2: Випадкова ініціалізація з великою дисперсією",[5191,7034,7035,7036,7039],{},"Добре, нульова ініціалізація не працює. Очевидне рішення: ",[5198,7037,7038],{},"ініціалізувати ваги випадково"," з нормального або рівномірного розподілу. Це порушить симетрію, і нейрони почнуть вчитися різних ознак.",[5191,7041,7042,7043,7046],{},"Спробуймо наївний підхід: ініціалізувати ваги з ",[6925,7044],{"tex":7045,":inline":6928},"\\mathcal{N}(0, 1)"," (стандартний нормальний розподіл).",[5334,7048,7050,7467],{"title":7049},"naive_random_initialization.ipynb",[5339,7051,7053,7454],{"execution-count":5351,"execution-time":7052},"0.52s",[5354,7054,7056],{"className":5356,"code":7055,"language":5358,"meta":5359,"style":5359},"import numpy as np\nimport matplotlib.pyplot as plt\n\n# Глибока мережа: 10 шарів\nclass DeepMLP(nn.Module):\n    def __init__(self, input_size=784, hidden_size=256, num_layers=10, output_size=10):\n        super(DeepMLP, self).__init__()\n        layers = []\n        \n        # Перший шар\n        layers.append(nn.Linear(input_size, hidden_size))\n        layers.append(nn.ReLU())\n        \n        # Приховані шари\n        for _ in range(num_layers - 2):\n            layers.append(nn.Linear(hidden_size, hidden_size))\n            layers.append(nn.ReLU())\n        \n        # Вихідний шар\n        layers.append(nn.Linear(hidden_size, output_size))\n        \n        self.network = nn.Sequential(*layers)\n        self.num_layers = num_layers\n    \n    def forward(self, x):\n        x = x.view(x.size(0), -1)\n        return self.network(x)\n\n# Модель із наївною ініціалізацією\nmodel = DeepMLP(num_layers=10).to(device)\n\ndef init_weights_naive(m):\n    if isinstance(m, nn.Linear):\n        # Наївна ініціалізація: N(0, 1)\n        nn.init.normal_(m.weight, mean=0.0, std=1.0)\n        nn.init.constant_(m.bias, 0.0)\n\nmodel.apply(init_weights_naive)\n\nprint(\"✅ Модель створено: 10 шарів, наївна ініціалізація N(0, 1)\")\nprint(f\"   Загальна кількість параметрів: {sum(p.numel() for p in model.parameters()):,}\")\n",[5268,7057,7058,7070,7082,7086,7091,7108,7156,7171,7176,7180,7185,7190,7195,7199,7204,7223,7228,7233,7237,7242,7247,7251,7258,7265,7269,7285,7297,7307,7311,7316,7330,7334,7347,7355,7360,7384,7392,7396,7401,7405,7417],{"__ignoreMap":5359},[5363,7059,7060,7062,7065,7067],{"class":5365,"line":5366},[5363,7061,5370],{"class":5369},[5363,7063,7064],{"class":5373}," numpy ",[5363,7066,5385],{"class":5369},[5363,7068,7069],{"class":5373}," np\n",[5363,7071,7072,7074,7077,7079],{"class":5365,"line":5377},[5363,7073,5370],{"class":5369},[5363,7075,7076],{"class":5373}," matplotlib.pyplot ",[5363,7078,5385],{"class":5369},[5363,7080,7081],{"class":5373}," plt\n",[5363,7083,7084],{"class":5365,"line":5391},[5363,7085,5435],{"emptyLinePlaceholder":5434},[5363,7087,7088],{"class":5365,"line":5404},[5363,7089,7090],{"class":5441},"# Глибока мережа: 10 шарів\n",[5363,7092,7093,7095,7098,7100,7102,7104,7106],{"class":5365,"line":5418},[5363,7094,5449],{"class":5448},[5363,7096,7097],{"class":5452}," DeepMLP",[5363,7099,5456],{"class":5373},[5363,7101,5459],{"class":5452},[5363,7103,5327],{"class":5373},[5363,7105,5464],{"class":5452},[5363,7107,5467],{"class":5373},[5363,7109,7110,7112,7114,7116,7118,7120,7123,7125,7127,7129,7132,7134,7136,7138,7141,7143,7145,7147,7150,7152,7154],{"class":5365,"line":5431},[5363,7111,5473],{"class":5448},[5363,7113,5477],{"class":5476},[5363,7115,5456],{"class":5373},[5363,7117,5483],{"class":5482},[5363,7119,5521],{"class":5373},[5363,7121,7122],{"class":5482},"input_size",[5363,7124,6025],{"class":5373},[5363,7126,5518],{"class":5517},[5363,7128,5521],{"class":5373},[5363,7130,7131],{"class":5482},"hidden_size",[5363,7133,6025],{"class":5373},[5363,7135,5524],{"class":5517},[5363,7137,5521],{"class":5373},[5363,7139,7140],{"class":5482},"num_layers",[5363,7142,6025],{"class":5373},[5363,7144,5559],{"class":5517},[5363,7146,5521],{"class":5373},[5363,7148,7149],{"class":5482},"output_size",[5363,7151,6025],{"class":5373},[5363,7153,5559],{"class":5517},[5363,7155,5467],{"class":5373},[5363,7157,7158,7160,7163,7165,7167,7169],{"class":5365,"line":5438},[5363,7159,5491],{"class":5452},[5363,7161,7162],{"class":5373},"(DeepMLP, ",[5363,7164,5483],{"class":5448},[5363,7166,5499],{"class":5373},[5363,7168,5502],{"class":5476},[5363,7170,5505],{"class":5373},[5363,7172,7173],{"class":5365,"line":5445},[5363,7174,7175],{"class":5373},"        layers = []\n",[5363,7177,7178],{"class":5365,"line":5470},[5363,7179,6632],{"class":5373},[5363,7181,7182],{"class":5365,"line":5488},[5363,7183,7184],{"class":5441},"        # Перший шар\n",[5363,7186,7187],{"class":5365,"line":5508},[5363,7188,7189],{"class":5373},"        layers.append(nn.Linear(input_size, hidden_size))\n",[5363,7191,7192],{"class":5365,"line":5530},[5363,7193,7194],{"class":5373},"        layers.append(nn.ReLU())\n",[5363,7196,7197],{"class":5365,"line":5547},[5363,7198,6632],{"class":5373},[5363,7200,7201],{"class":5365,"line":5564},[5363,7202,7203],{"class":5441},"        # Приховані шари\n",[5363,7205,7206,7209,7212,7214,7216,7219,7221],{"class":5365,"line":5572},[5363,7207,7208],{"class":5369},"        for",[5363,7210,7211],{"class":5373}," _ ",[5363,7213,5818],{"class":5369},[5363,7215,6209],{"class":5476},[5363,7217,7218],{"class":5373},"(num_layers - ",[5363,7220,5962],{"class":5517},[5363,7222,5467],{"class":5373},[5363,7224,7225],{"class":5365,"line":5578},[5363,7226,7227],{"class":5373},"            layers.append(nn.Linear(hidden_size, hidden_size))\n",[5363,7229,7230],{"class":5365,"line":5597},[5363,7231,7232],{"class":5373},"            layers.append(nn.ReLU())\n",[5363,7234,7235],{"class":5365,"line":5617},[5363,7236,6632],{"class":5373},[5363,7238,7239],{"class":5365,"line":5633},[5363,7240,7241],{"class":5441},"        # Вихідний шар\n",[5363,7243,7244],{"class":5365,"line":5647},[5363,7245,7246],{"class":5373},"        layers.append(nn.Linear(hidden_size, output_size))\n",[5363,7248,7249],{"class":5365,"line":5657},[5363,7250,6632],{"class":5373},[5363,7252,7253,7255],{"class":5365,"line":5666},[5363,7254,5511],{"class":5448},[5363,7256,7257],{"class":5373},".network = nn.Sequential(*layers)\n",[5363,7259,7260,7262],{"class":5365,"line":5671},[5363,7261,5511],{"class":5448},[5363,7263,7264],{"class":5373},".num_layers = num_layers\n",[5363,7266,7267],{"class":5365,"line":5677},[5363,7268,5575],{"class":5373},[5363,7270,7271,7273,7275,7277,7279,7281,7283],{"class":5365,"line":5701},[5363,7272,5473],{"class":5448},[5363,7274,5583],{"class":5476},[5363,7276,5456],{"class":5373},[5363,7278,5483],{"class":5482},[5363,7280,5521],{"class":5373},[5363,7282,5592],{"class":5482},[5363,7284,5467],{"class":5373},[5363,7286,7287,7289,7291,7293,7295],{"class":5365,"line":5707},[5363,7288,5600],{"class":5373},[5363,7290,5603],{"class":5517},[5363,7292,5606],{"class":5373},[5363,7294,5351],{"class":5517},[5363,7296,5527],{"class":5373},[5363,7298,7299,7301,7304],{"class":5365,"line":5712},[5363,7300,5660],{"class":5369},[5363,7302,7303],{"class":5448}," self",[5363,7305,7306],{"class":5373},".network(x)\n",[5363,7308,7309],{"class":5365,"line":5718},[5363,7310,5435],{"emptyLinePlaceholder":5434},[5363,7312,7313],{"class":5365,"line":5734},[5363,7314,7315],{"class":5441},"# Модель із наївною ініціалізацією\n",[5363,7317,7318,7321,7323,7325,7327],{"class":5365,"line":5746},[5363,7319,7320],{"class":5373},"model = DeepMLP(",[5363,7322,7140],{"class":5482},[5363,7324,6025],{"class":5373},[5363,7326,5559],{"class":5517},[5363,7328,7329],{"class":5373},").to(device)\n",[5363,7331,7332],{"class":5365,"line":5757},[5363,7333,5435],{"emptyLinePlaceholder":5434},[5363,7335,7336,7338,7341,7343,7345],{"class":5365,"line":5767},[5363,7337,5721],{"class":5448},[5363,7339,7340],{"class":5476}," init_weights_naive",[5363,7342,5456],{"class":5373},[5363,7344,5729],{"class":5482},[5363,7346,5467],{"class":5373},[5363,7348,7349,7351,7353],{"class":5365,"line":5772},[5363,7350,5737],{"class":5369},[5363,7352,5740],{"class":5476},[5363,7354,5743],{"class":5373},[5363,7356,7357],{"class":5365,"line":5778},[5363,7358,7359],{"class":5441},"        # Наївна ініціалізація: N(0, 1)\n",[5363,7361,7362,7365,7368,7370,7372,7374,7377,7379,7382],{"class":5365,"line":5783},[5363,7363,7364],{"class":5373},"        nn.init.normal_(m.weight, ",[5363,7366,7367],{"class":5482},"mean",[5363,7369,6025],{"class":5373},[5363,7371,5752],{"class":5517},[5363,7373,5521],{"class":5373},[5363,7375,7376],{"class":5482},"std",[5363,7378,6025],{"class":5373},[5363,7380,7381],{"class":5517},"1.0",[5363,7383,5527],{"class":5373},[5363,7385,7386,7388,7390],{"class":5365,"line":5789},[5363,7387,5760],{"class":5373},[5363,7389,5752],{"class":5517},[5363,7391,5527],{"class":5373},[5363,7393,7394],{"class":5365,"line":5809},[5363,7395,5435],{"emptyLinePlaceholder":5434},[5363,7397,7398],{"class":5365,"line":5824},[5363,7399,7400],{"class":5373},"model.apply(init_weights_naive)\n",[5363,7402,7403],{"class":5365,"line":5838},[5363,7404,5435],{"emptyLinePlaceholder":5434},[5363,7406,7408,7410,7412,7415],{"class":5365,"line":7407},40,[5363,7409,5792],{"class":5476},[5363,7411,5456],{"class":5373},[5363,7413,7414],{"class":5683},"\"✅ Модель створено: 10 шарів, наївна ініціалізація N(0, 1)\"",[5363,7416,5527],{"class":5373},[5363,7418,7420,7422,7424,7426,7429,7431,7434,7437,7439,7442,7444,7447,7450,7452],{"class":5365,"line":7419},41,[5363,7421,5792],{"class":5476},[5363,7423,5456],{"class":5373},[5363,7425,5846],{"class":5448},[5363,7427,7428],{"class":5683},"\"   Загальна кількість параметрів: ",[5363,7430,5851],{"class":5448},[5363,7432,7433],{"class":5476},"sum",[5363,7435,7436],{"class":5373},"(p.numel() ",[5363,7438,5812],{"class":5369},[5363,7440,7441],{"class":5373}," p ",[5363,7443,5818],{"class":5369},[5363,7445,7446],{"class":5373}," model.parameters())",[5363,7448,7449],{"class":5448},":,}",[5363,7451,5804],{"class":5683},[5363,7453,5527],{"class":5373},[5884,7455,7456,7462],{"v-slot:output":5359},[5191,7457,7458,7459],{},"✅ ",[5198,7460,7461],{},"Модель створено: 10 шарів, наївна ініціалізація N(0, 1)",[5249,7463,7464],{},[5252,7465,7466],{},"Загальна кількість параметрів: 2,632,458",[5339,7468,7470,8312],{"execution-count":5962,"execution-time":7469},"1.85s",[5354,7471,7473],{"className":5356,"code":7472,"language":5358,"meta":5359,"style":5359},"# Пропустимо дані через мережу та збережемо активації кожного шару\nmodel.eval()\nimages, _ = next(iter(train_loader))\nimages = images.to(device)\n\nactivations = []\nhooks = []\n\ndef get_activation(name):\n    def hook(model, input, output):\n        activations.append(output.detach().cpu().numpy())\n    return hook\n\n# Зареєструємо hooks для кожного ReLU шару\nfor i, module in enumerate(model.network):\n    if isinstance(module, nn.ReLU):\n        hooks.append(module.register_forward_hook(get_activation(f\"layer_{i}\")))\n\n# Forward pass\nwith torch.no_grad():\n    output = model(images)\n\n# Видалимо hooks\nfor hook in hooks:\n    hook.remove()\n\n# Візуалізація активацій по шарах\nfig, axes = plt.subplots(2, 5, figsize=(18, 7))\naxes = axes.flatten()\n\nfor i, (ax, act) in enumerate(zip(axes, activations)):\n    act_flat = act.flatten()\n    \n    ax.hist(act_flat, bins=50, color='#3b82f6', alpha=0.7, edgecolor='black')\n    ax.axvline(0, color='red', linestyle='--', linewidth=2, alpha=0.7)\n    ax.set_title(f'Шар {i+1}', fontsize=12, fontweight='bold')\n    ax.set_xlabel('Значення активації', fontsize=10)\n    ax.set_ylabel('Частота', fontsize=10)\n    ax.grid(alpha=0.3)\n    \n    # Статистика\n    mean_val = np.mean(act_flat)\n    std_val = np.std(act_flat)\n    ax.text(0.98, 0.95, f'μ={mean_val:.2e}\\nσ={std_val:.2e}', \n            transform=ax.transAxes, fontsize=9,\n            verticalalignment='top', horizontalalignment='right',\n            bbox=dict(boxstyle='round', facecolor='wheat', alpha=0.5))\n\nplt.tight_layout()\nplt.show()\n\nprint(\"\\n📊 Статистика активацій по шарах:\\n\")\nprint(f\"{'Шар':\u003C8} | {'Mean':\u003C12} | {'Std':\u003C12} | {'Max':\u003C12} | {'% нулів (dead)':\u003C15}\")\nprint(\"-\" * 70)\nfor i, act in enumerate(activations):\n    act_flat = act.flatten()\n    mean_val = np.mean(act_flat)\n    std_val = np.std(act_flat)\n    max_val = np.max(act_flat)\n    zero_pct = np.mean(act_flat == 0) * 100\n    print(f\"{i+1:\u003C8} | {mean_val:\u003C12.6f} | {std_val:\u003C12.6f} | {max_val:\u003C12.2f} | {zero_pct:\u003C15.1f}%\")\n",[5268,7474,7475,7480,7484,7497,7502,7506,7511,7516,7520,7533,7557,7562,7570,7574,7579,7594,7603,7624,7628,7632,7638,7643,7647,7652,7664,7669,7673,7678,7708,7713,7717,7736,7741,7745,7790,7835,7878,7896,7914,7928,7932,7937,7943,7949,7995,8014,8037,8079,8084,8090,8096,8101,8121,8183,8201,8216,8221,8226,8231,8237,8251],{"__ignoreMap":5359},[5363,7476,7477],{"class":5365,"line":5366},[5363,7478,7479],{"class":5441},"# Пропустимо дані через мережу та збережемо активації кожного шару\n",[5363,7481,7482],{"class":5365,"line":5377},[5363,7483,6121],{"class":5373},[5363,7485,7486,7489,7491,7493,7495],{"class":5365,"line":5391},[5363,7487,7488],{"class":5373},"images, _ = ",[5363,7490,6094],{"class":5476},[5363,7492,5456],{"class":5373},[5363,7494,6099],{"class":5476},[5363,7496,6102],{"class":5373},[5363,7498,7499],{"class":5365,"line":5404},[5363,7500,7501],{"class":5373},"images = images.to(device)\n",[5363,7503,7504],{"class":5365,"line":5418},[5363,7505,5435],{"emptyLinePlaceholder":5434},[5363,7507,7508],{"class":5365,"line":5431},[5363,7509,7510],{"class":5373},"activations = []\n",[5363,7512,7513],{"class":5365,"line":5438},[5363,7514,7515],{"class":5373},"hooks = []\n",[5363,7517,7518],{"class":5365,"line":5445},[5363,7519,5435],{"emptyLinePlaceholder":5434},[5363,7521,7522,7524,7527,7529,7531],{"class":5365,"line":5470},[5363,7523,5721],{"class":5448},[5363,7525,7526],{"class":5476}," get_activation",[5363,7528,5456],{"class":5373},[5363,7530,5854],{"class":5482},[5363,7532,5467],{"class":5373},[5363,7534,7535,7537,7540,7542,7545,7547,7550,7552,7555],{"class":5365,"line":5488},[5363,7536,5473],{"class":5448},[5363,7538,7539],{"class":5476}," hook",[5363,7541,5456],{"class":5373},[5363,7543,7544],{"class":5482},"model",[5363,7546,5521],{"class":5373},[5363,7548,7549],{"class":5482},"input",[5363,7551,5521],{"class":5373},[5363,7553,7554],{"class":5482},"output",[5363,7556,5467],{"class":5373},[5363,7558,7559],{"class":5365,"line":5508},[5363,7560,7561],{"class":5373},"        activations.append(output.detach().cpu().numpy())\n",[5363,7563,7564,7567],{"class":5365,"line":5530},[5363,7565,7566],{"class":5369},"    return",[5363,7568,7569],{"class":5373}," hook\n",[5363,7571,7572],{"class":5365,"line":5547},[5363,7573,5435],{"emptyLinePlaceholder":5434},[5363,7575,7576],{"class":5365,"line":5564},[5363,7577,7578],{"class":5441},"# Зареєструємо hooks для кожного ReLU шару\n",[5363,7580,7581,7583,7586,7588,7591],{"class":5365,"line":5572},[5363,7582,5812],{"class":5369},[5363,7584,7585],{"class":5373}," i, module ",[5363,7587,5818],{"class":5369},[5363,7589,7590],{"class":5476}," enumerate",[5363,7592,7593],{"class":5373},"(model.network):\n",[5363,7595,7596,7598,7600],{"class":5365,"line":5578},[5363,7597,5737],{"class":5369},[5363,7599,5740],{"class":5476},[5363,7601,7602],{"class":5373},"(module, nn.ReLU):\n",[5363,7604,7605,7608,7610,7613,7615,7617,7619,7621],{"class":5365,"line":5597},[5363,7606,7607],{"class":5373},"        hooks.append(module.register_forward_hook(get_activation(",[5363,7609,5846],{"class":5448},[5363,7611,7612],{"class":5683},"\"layer_",[5363,7614,5851],{"class":5448},[5363,7616,6942],{"class":5373},[5363,7618,6172],{"class":5448},[5363,7620,5804],{"class":5683},[5363,7622,7623],{"class":5373},")))\n",[5363,7625,7626],{"class":5365,"line":5617},[5363,7627,5435],{"emptyLinePlaceholder":5434},[5363,7629,7630],{"class":5365,"line":5633},[5363,7631,6116],{"class":5441},[5363,7633,7634,7636],{"class":5365,"line":5647},[5363,7635,6126],{"class":5369},[5363,7637,6129],{"class":5373},[5363,7639,7640],{"class":5365,"line":5657},[5363,7641,7642],{"class":5373},"    output = model(images)\n",[5363,7644,7645],{"class":5365,"line":5666},[5363,7646,5435],{"emptyLinePlaceholder":5434},[5363,7648,7649],{"class":5365,"line":5671},[5363,7650,7651],{"class":5441},"# Видалимо hooks\n",[5363,7653,7654,7656,7659,7661],{"class":5365,"line":5677},[5363,7655,5812],{"class":5369},[5363,7657,7658],{"class":5373}," hook ",[5363,7660,5818],{"class":5369},[5363,7662,7663],{"class":5373}," hooks:\n",[5363,7665,7666],{"class":5365,"line":5701},[5363,7667,7668],{"class":5373},"    hook.remove()\n",[5363,7670,7671],{"class":5365,"line":5707},[5363,7672,5435],{"emptyLinePlaceholder":5434},[5363,7674,7675],{"class":5365,"line":5712},[5363,7676,7677],{"class":5441},"# Візуалізація активацій по шарах\n",[5363,7679,7680,7683,7685,7687,7689,7691,7694,7697,7700,7702,7705],{"class":5365,"line":5718},[5363,7681,7682],{"class":5373},"fig, axes = plt.subplots(",[5363,7684,5962],{"class":5517},[5363,7686,5521],{"class":5373},[5363,7688,6214],{"class":5517},[5363,7690,5521],{"class":5373},[5363,7692,7693],{"class":5482},"figsize",[5363,7695,7696],{"class":5373},"=(",[5363,7698,7699],{"class":5517},"18",[5363,7701,5521],{"class":5373},[5363,7703,7704],{"class":5517},"7",[5363,7706,7707],{"class":5373},"))\n",[5363,7709,7710],{"class":5365,"line":5734},[5363,7711,7712],{"class":5373},"axes = axes.flatten()\n",[5363,7714,7715],{"class":5365,"line":5746},[5363,7716,5435],{"emptyLinePlaceholder":5434},[5363,7718,7719,7721,7724,7726,7728,7730,7733],{"class":5365,"line":5757},[5363,7720,5812],{"class":5369},[5363,7722,7723],{"class":5373}," i, (ax, act) ",[5363,7725,5818],{"class":5369},[5363,7727,7590],{"class":5476},[5363,7729,5456],{"class":5373},[5363,7731,7732],{"class":5476},"zip",[5363,7734,7735],{"class":5373},"(axes, activations)):\n",[5363,7737,7738],{"class":5365,"line":5767},[5363,7739,7740],{"class":5373},"    act_flat = act.flatten()\n",[5363,7742,7743],{"class":5365,"line":5772},[5363,7744,5575],{"class":5373},[5363,7746,7747,7750,7753,7755,7758,7760,7763,7765,7768,7770,7773,7775,7778,7780,7783,7785,7788],{"class":5365,"line":5778},[5363,7748,7749],{"class":5373},"    ax.hist(act_flat, ",[5363,7751,7752],{"class":5482},"bins",[5363,7754,6025],{"class":5373},[5363,7756,7757],{"class":5517},"50",[5363,7759,5521],{"class":5373},[5363,7761,7762],{"class":5482},"color",[5363,7764,6025],{"class":5373},[5363,7766,7767],{"class":5683},"'#3b82f6'",[5363,7769,5521],{"class":5373},[5363,7771,7772],{"class":5482},"alpha",[5363,7774,6025],{"class":5373},[5363,7776,7777],{"class":5517},"0.7",[5363,7779,5521],{"class":5373},[5363,7781,7782],{"class":5482},"edgecolor",[5363,7784,6025],{"class":5373},[5363,7786,7787],{"class":5683},"'black'",[5363,7789,5527],{"class":5373},[5363,7791,7792,7795,7797,7799,7801,7803,7806,7808,7811,7813,7816,7818,7821,7823,7825,7827,7829,7831,7833],{"class":5365,"line":5783},[5363,7793,7794],{"class":5373},"    ax.axvline(",[5363,7796,5603],{"class":5517},[5363,7798,5521],{"class":5373},[5363,7800,7762],{"class":5482},[5363,7802,6025],{"class":5373},[5363,7804,7805],{"class":5683},"'red'",[5363,7807,5521],{"class":5373},[5363,7809,7810],{"class":5482},"linestyle",[5363,7812,6025],{"class":5373},[5363,7814,7815],{"class":5683},"'--'",[5363,7817,5521],{"class":5373},[5363,7819,7820],{"class":5482},"linewidth",[5363,7822,6025],{"class":5373},[5363,7824,5962],{"class":5517},[5363,7826,5521],{"class":5373},[5363,7828,7772],{"class":5482},[5363,7830,6025],{"class":5373},[5363,7832,7777],{"class":5517},[5363,7834,5527],{"class":5373},[5363,7836,7837,7840,7842,7845,7847,7849,7851,7853,7856,7858,7861,7863,7866,7868,7871,7873,7876],{"class":5365,"line":5789},[5363,7838,7839],{"class":5373},"    ax.set_title(",[5363,7841,5846],{"class":5448},[5363,7843,7844],{"class":5683},"'Шар ",[5363,7846,5851],{"class":5448},[5363,7848,6233],{"class":5373},[5363,7850,5351],{"class":5517},[5363,7852,6172],{"class":5448},[5363,7854,7855],{"class":5683},"'",[5363,7857,5521],{"class":5373},[5363,7859,7860],{"class":5482},"fontsize",[5363,7862,6025],{"class":5373},[5363,7864,7865],{"class":5517},"12",[5363,7867,5521],{"class":5373},[5363,7869,7870],{"class":5482},"fontweight",[5363,7872,6025],{"class":5373},[5363,7874,7875],{"class":5683},"'bold'",[5363,7877,5527],{"class":5373},[5363,7879,7880,7883,7886,7888,7890,7892,7894],{"class":5365,"line":5809},[5363,7881,7882],{"class":5373},"    ax.set_xlabel(",[5363,7884,7885],{"class":5683},"'Значення активації'",[5363,7887,5521],{"class":5373},[5363,7889,7860],{"class":5482},[5363,7891,6025],{"class":5373},[5363,7893,5559],{"class":5517},[5363,7895,5527],{"class":5373},[5363,7897,7898,7901,7904,7906,7908,7910,7912],{"class":5365,"line":5824},[5363,7899,7900],{"class":5373},"    ax.set_ylabel(",[5363,7902,7903],{"class":5683},"'Частота'",[5363,7905,5521],{"class":5373},[5363,7907,7860],{"class":5482},[5363,7909,6025],{"class":5373},[5363,7911,5559],{"class":5517},[5363,7913,5527],{"class":5373},[5363,7915,7916,7919,7921,7923,7926],{"class":5365,"line":5838},[5363,7917,7918],{"class":5373},"    ax.grid(",[5363,7920,7772],{"class":5482},[5363,7922,6025],{"class":5373},[5363,7924,7925],{"class":5517},"0.3",[5363,7927,5527],{"class":5373},[5363,7929,7930],{"class":5365,"line":7407},[5363,7931,5575],{"class":5373},[5363,7933,7934],{"class":5365,"line":7419},[5363,7935,7936],{"class":5441},"    # Статистика\n",[5363,7938,7940],{"class":5365,"line":7939},42,[5363,7941,7942],{"class":5373},"    mean_val = np.mean(act_flat)\n",[5363,7944,7946],{"class":5365,"line":7945},43,[5363,7947,7948],{"class":5373},"    std_val = np.std(act_flat)\n",[5363,7950,7952,7955,7958,7960,7963,7965,7967,7970,7972,7975,7978,7980,7983,7985,7988,7990,7992],{"class":5365,"line":7951},44,[5363,7953,7954],{"class":5373},"    ax.text(",[5363,7956,7957],{"class":5517},"0.98",[5363,7959,5521],{"class":5373},[5363,7961,7962],{"class":5517},"0.95",[5363,7964,5521],{"class":5373},[5363,7966,5846],{"class":5448},[5363,7968,7969],{"class":5683},"'μ=",[5363,7971,5851],{"class":5448},[5363,7973,7974],{"class":5373},"mean_val",[5363,7976,7977],{"class":5448},":.2e}",[5363,7979,5801],{"class":5800},[5363,7981,7982],{"class":5683},"σ=",[5363,7984,5851],{"class":5448},[5363,7986,7987],{"class":5373},"std_val",[5363,7989,7977],{"class":5448},[5363,7991,7855],{"class":5683},[5363,7993,7994],{"class":5373},", \n",[5363,7996,7998,8001,8004,8006,8008,8011],{"class":5365,"line":7997},45,[5363,7999,8000],{"class":5482},"            transform",[5363,8002,8003],{"class":5373},"=ax.transAxes, ",[5363,8005,7860],{"class":5482},[5363,8007,6025],{"class":5373},[5363,8009,8010],{"class":5517},"9",[5363,8012,8013],{"class":5373},",\n",[5363,8015,8017,8020,8022,8025,8027,8030,8032,8035],{"class":5365,"line":8016},46,[5363,8018,8019],{"class":5482},"            verticalalignment",[5363,8021,6025],{"class":5373},[5363,8023,8024],{"class":5683},"'top'",[5363,8026,5521],{"class":5373},[5363,8028,8029],{"class":5482},"horizontalalignment",[5363,8031,6025],{"class":5373},[5363,8033,8034],{"class":5683},"'right'",[5363,8036,8013],{"class":5373},[5363,8038,8040,8043,8045,8048,8050,8053,8055,8058,8060,8063,8065,8068,8070,8072,8074,8077],{"class":5365,"line":8039},47,[5363,8041,8042],{"class":5482},"            bbox",[5363,8044,6025],{"class":5373},[5363,8046,8047],{"class":5452},"dict",[5363,8049,5456],{"class":5373},[5363,8051,8052],{"class":5482},"boxstyle",[5363,8054,6025],{"class":5373},[5363,8056,8057],{"class":5683},"'round'",[5363,8059,5521],{"class":5373},[5363,8061,8062],{"class":5482},"facecolor",[5363,8064,6025],{"class":5373},[5363,8066,8067],{"class":5683},"'wheat'",[5363,8069,5521],{"class":5373},[5363,8071,7772],{"class":5482},[5363,8073,6025],{"class":5373},[5363,8075,8076],{"class":5517},"0.5",[5363,8078,7707],{"class":5373},[5363,8080,8082],{"class":5365,"line":8081},48,[5363,8083,5435],{"emptyLinePlaceholder":5434},[5363,8085,8087],{"class":5365,"line":8086},49,[5363,8088,8089],{"class":5373},"plt.tight_layout()\n",[5363,8091,8093],{"class":5365,"line":8092},50,[5363,8094,8095],{"class":5373},"plt.show()\n",[5363,8097,8099],{"class":5365,"line":8098},51,[5363,8100,5435],{"emptyLinePlaceholder":5434},[5363,8102,8104,8106,8108,8110,8112,8115,8117,8119],{"class":5365,"line":8103},52,[5363,8105,5792],{"class":5476},[5363,8107,5456],{"class":5373},[5363,8109,5804],{"class":5683},[5363,8111,5801],{"class":5800},[5363,8113,8114],{"class":5683},"📊 Статистика активацій по шарах:",[5363,8116,5801],{"class":5800},[5363,8118,5804],{"class":5683},[5363,8120,5527],{"class":5373},[5363,8122,8124,8126,8128,8130,8132,8134,8137,8140,8143,8145,8148,8151,8153,8155,8158,8160,8162,8164,8167,8169,8171,8173,8176,8179,8181],{"class":5365,"line":8123},53,[5363,8125,5792],{"class":5476},[5363,8127,5456],{"class":5373},[5363,8129,5846],{"class":5448},[5363,8131,5804],{"class":5683},[5363,8133,5851],{"class":5448},[5363,8135,8136],{"class":5683},"'Шар'",[5363,8138,8139],{"class":5448},":\u003C8}",[5363,8141,8142],{"class":5683}," | ",[5363,8144,5851],{"class":5448},[5363,8146,8147],{"class":5683},"'Mean'",[5363,8149,8150],{"class":5448},":\u003C12}",[5363,8152,8142],{"class":5683},[5363,8154,5851],{"class":5448},[5363,8156,8157],{"class":5683},"'Std'",[5363,8159,8150],{"class":5448},[5363,8161,8142],{"class":5683},[5363,8163,5851],{"class":5448},[5363,8165,8166],{"class":5683},"'Max'",[5363,8168,8150],{"class":5448},[5363,8170,8142],{"class":5683},[5363,8172,5851],{"class":5448},[5363,8174,8175],{"class":5683},"'% нулів (dead)'",[5363,8177,8178],{"class":5448},":\u003C15}",[5363,8180,5804],{"class":5683},[5363,8182,5527],{"class":5373},[5363,8184,8186,8188,8190,8193,8196,8199],{"class":5365,"line":8185},54,[5363,8187,5792],{"class":5476},[5363,8189,5456],{"class":5373},[5363,8191,8192],{"class":5683},"\"-\"",[5363,8194,8195],{"class":5373}," * ",[5363,8197,8198],{"class":5517},"70",[5363,8200,5527],{"class":5373},[5363,8202,8204,8206,8209,8211,8213],{"class":5365,"line":8203},55,[5363,8205,5812],{"class":5369},[5363,8207,8208],{"class":5373}," i, act ",[5363,8210,5818],{"class":5369},[5363,8212,7590],{"class":5476},[5363,8214,8215],{"class":5373},"(activations):\n",[5363,8217,8219],{"class":5365,"line":8218},56,[5363,8220,7740],{"class":5373},[5363,8222,8224],{"class":5365,"line":8223},57,[5363,8225,7942],{"class":5373},[5363,8227,8229],{"class":5365,"line":8228},58,[5363,8230,7948],{"class":5373},[5363,8232,8234],{"class":5365,"line":8233},59,[5363,8235,8236],{"class":5373},"    max_val = np.max(act_flat)\n",[5363,8238,8240,8243,8245,8248],{"class":5365,"line":8239},60,[5363,8241,8242],{"class":5373},"    zero_pct = np.mean(act_flat == ",[5363,8244,5603],{"class":5517},[5363,8246,8247],{"class":5373},") * ",[5363,8249,8250],{"class":5517},"100\n",[5363,8252,8254,8256,8258,8260,8262,8264,8266,8268,8270,8272,8274,8276,8279,8281,8283,8285,8287,8289,8291,8294,8297,8299,8301,8304,8307,8310],{"class":5365,"line":8253},61,[5363,8255,6221],{"class":5476},[5363,8257,5456],{"class":5373},[5363,8259,5846],{"class":5448},[5363,8261,5804],{"class":5683},[5363,8263,5851],{"class":5448},[5363,8265,6233],{"class":5373},[5363,8267,5351],{"class":5517},[5363,8269,8139],{"class":5448},[5363,8271,8142],{"class":5683},[5363,8273,5851],{"class":5448},[5363,8275,7974],{"class":5373},[5363,8277,8278],{"class":5448},":\u003C12.6f}",[5363,8280,8142],{"class":5683},[5363,8282,5851],{"class":5448},[5363,8284,7987],{"class":5373},[5363,8286,8278],{"class":5448},[5363,8288,8142],{"class":5683},[5363,8290,5851],{"class":5448},[5363,8292,8293],{"class":5373},"max_val",[5363,8295,8296],{"class":5448},":\u003C12.2f}",[5363,8298,8142],{"class":5683},[5363,8300,5851],{"class":5448},[5363,8302,8303],{"class":5373},"zero_pct",[5363,8305,8306],{"class":5448},":\u003C15.1f}",[5363,8308,8309],{"class":5683},"%\"",[5363,8311,5527],{"class":5373},[5884,8313,8314,8323,8328],{"v-slot:output":5359},[5191,8315,8316],{},[8317,8318],"img",{"alt":8319,"className":8320,"src":8322},"Розподіл активацій по шарах при наївній ініціалізації: експоненціальне зростання дисперсії",[8321],"diagram-img","\u002Fimages\u002Fai-python\u002Fbatching-normalization-deep-networks\u002Fweight-initialization\u002F01.png",[5191,8324,6359,8325],{},[5198,8326,8327],{},"Статистика активацій по шарах:",[5893,8329,8330,8346],{},[5896,8331,8332],{},[5899,8333,8334,8336,8338,8340,8343],{},[5902,8335,5905],{"align":5904},[5902,8337,5908],{"align":5904},[5902,8339,5911],{"align":5904},[5902,8341,8342],{"align":5904},"Max",[5902,8344,8345],{"align":5904},"% нулів (ReLU dead)",[5916,8347,8348,8364,8380,8396,8413,8433],{},[5899,8349,8350,8352,8355,8358,8361],{},[5921,8351,5351],{"align":5904},[5921,8353,8354],{"align":5904},"4.523819",[5921,8356,8357],{"align":5904},"7.412563",[5921,8359,8360],{"align":5904},"82.45",[5921,8362,8363],{"align":5904},"32.4%",[5899,8365,8366,8368,8371,8374,8377],{},[5921,8367,5962],{"align":5904},[5921,8369,8370],{"align":5904},"18.847251",[5921,8372,8373],{"align":5904},"35.624187",[5921,8375,8376],{"align":5904},"524.82",[5921,8378,8379],{"align":5904},"38.7%",[5899,8381,8382,8384,8387,8390,8393],{},[5921,8383,6423],{"align":5904},[5921,8385,8386],{"align":5904},"97.548632",[5921,8388,8389],{"align":5904},"245.871452",[5921,8391,8392],{"align":5904},"4852.15",[5921,8394,8395],{"align":5904},"42.1%",[5899,8397,8398,8401,8404,8407,8410],{},[5921,8399,8400],{"align":5904},"4",[5921,8402,8403],{"align":5904},"1248.752418",[5921,8405,8406],{"align":5904},"4582.345871",[5921,8408,8409],{"align":5904},"85247.82",[5921,8411,8412],{"align":5904},"45.8%",[5899,8414,8415,8417,8422,8426,8430],{},[5921,8416,6214],{"align":5904},[5921,8418,8419],{"align":5904},[5198,8420,8421],{},"inf",[5921,8423,8424],{"align":5904},[5198,8425,8421],{},[5921,8427,8428],{"align":5904},[5198,8429,8421],{},[5921,8431,8432],{"align":5904},"48.2%",[5899,8434,8435,8438,8441,8443,8445],{},[5921,8436,8437],{"align":5904},"6-10",[5921,8439,8440],{"align":5904},"NaN",[5921,8442,8440],{"align":5904},[5921,8444,8440],{"align":5904},[5921,8446,8447],{"align":5904},"100% (всі dead)",[6397,8449,8450,8455,8469],{},[5191,8451,8452],{},[5198,8453,8454],{},"Катастрофічний результат:",[5191,8456,8457,8458,8461,8462,8464,8465,8468],{},"Активації ",[5198,8459,8460],{},"експоненціально зростають"," по шарах! Вже на 5-му шарі значення досягають ",[5268,8463,8421],{}," (переповнення float32). Наступні шари отримують лише NaN (Not a Number), і модель ",[5198,8466,8467],{},"повністю непридатна"," для навчання.",[5191,8470,8471,8472,8475,8476,8480,8481,8484],{},"Це явище називається ",[5198,8473,8474],{},"exploding activations"," (",[8477,8478,8479],"em",{},"вибухаючі активації","), і воно призводить до ",[5198,8482,8483],{},"exploding gradients"," під час backpropagation.",[5329,8486,8488],{"id":8487},"математичне-пояснення-вибухаючих-активацій","Математичне пояснення вибухаючих активацій",[5191,8490,8491,8492,8495,8496,8498],{},"Розглянемо, що відбувається при проходженні сигналу через ",[6925,8493],{"tex":8494,":inline":6928},"L"," шарів. Активація ",[6925,8497],{"tex":6942,":inline":6928},"-го шару:",[6925,8500],{"tex":8501},"\\mathbf{a}^{(i)} = f(\\mathbf{W}^{(i)} \\mathbf{a}^{(i-1)} + \\mathbf{b}^{(i)})",[5191,8503,6995,8504,8506],{},[6925,8505],{"tex":5846,":inline":6928}," — функція активації (ReLU). Для спрощення аналізу припустимо, що всі bias нульові та ReLU не обнуляє нічого (оптимістичний сценарій). Тоді:",[6925,8508],{"tex":8509},"\\mathbf{a}^{(i)} \\approx \\mathbf{W}^{(i)} \\mathbf{a}^{(i-1)}",[5191,8511,8512,8513,8515],{},"Після ",[6925,8514],{"tex":8494,":inline":6928}," шарів:",[6925,8517],{"tex":8518},"\\mathbf{a}^{(L)} \\approx \\mathbf{W}^{(L)} \\mathbf{W}^{(L-1)} \\cdots \\mathbf{W}^{(1)} \\mathbf{x}",[5191,8520,8521,8522,8525,8526,8529],{},"Якщо ваги ініціалізовані з ",[6925,8523],{"tex":8524,":inline":6928},"\\mathcal{N}(0, \\sigma^2)",", то дисперсія елементів ",[6925,8527],{"tex":8528,":inline":6928},"\\mathbf{W}^{(i)} \\mathbf{a}^{(i-1)}"," приблизно:",[6925,8531],{"tex":8532},"\\text{Var}(\\mathbf{W} \\mathbf{a}) \\approx n \\cdot \\sigma_w^2 \\cdot \\sigma_a^2",[5191,8534,6995,8535,8537,8538,8541,8542,8545,8546,8549],{},[6925,8536],{"tex":6927,":inline":6928}," — розмір входу (кількість нейронів у попередньому шарі). Якщо ",[6925,8539],{"tex":8540,":inline":6928},"\\sigma_w = 1"," та ",[6925,8543],{"tex":8544,":inline":6928},"n = 256",", то після одного шару дисперсія зростає у ",[5198,8547,8548],{},"256 разів","! Після 10 шарів:",[6925,8551],{"tex":8552},"\\sigma_a^{(10)} \\approx \\sigma_a^{(0)} \\cdot (256)^{10} \\approx 10^{24} \\cdot \\sigma_a^{(0)}",[5191,8554,8555,8556,8559,8560,8563,8564,8567],{},"Значення стають астрономічними. З іншого боку, якщо ",[6925,8557],{"tex":8558,":inline":6928},"\\sigma_w"," занадто мала (наприклад, 0.01), дисперсія ",[5198,8561,8562],{},"зменшується"," експоненціально, і активації ",[5198,8565,8566],{},"зникають"," (стають нулями).",[7009,8569,8570,8575],{},[5191,8571,8572],{},[5198,8573,8574],{},"Ключова інтуїція:",[5191,8576,8577,8578,8581],{},"Для стабільного проходження сигналу через глибоку мережу нам потрібно, щоб ",[5198,8579,8580],{},"дисперсія активацій залишалася приблизно постійною"," від шару до шару. Це вимагає ретельного вибору дисперсії ініціалізації ваг.",[5311,8583],{},[5186,8585,8587],{"id":8586},"розвязання-xavier-glorot-ініціалізація","Розв'язання: Xavier (Glorot) ініціалізація",[5191,8589,8590,8591,8594,8595,5327],{},"У 2010 році Xavier Glorot та Yoshua Bengio запропонували метод ініціалізації, який зберігає дисперсію активацій та градієнтів однаковою на всіх шарах. Цей метод тепер називається ",[5198,8592,8593],{},"Xavier initialization"," або ",[5198,8596,8597],{},"Glorot initialization",[5329,8599,8601],{"id":8600},"математичне-виведення","Математичне виведення",[5191,8603,8604,8607,8608,8611],{},[5198,8605,8606],{},"Мета:"," знайти таку дисперсію ",[6925,8609],{"tex":8610,":inline":6928},"\\sigma_w^2",", щоб дисперсія виходу шару дорівнювала дисперсії входу.",[5191,8613,8614],{},"Розглянемо лінійний шар без bias:",[6925,8616],{"tex":8617},"z_i = \\sum_{j=1}^{n_{\\text{in}}} w_{ij} a_j",[5191,8619,8620],{},"Припустимо:",[8622,8623,8624,8634,8644],"ol",{},[5252,8625,8626,8627,8630,8631],{},"Входи ",[6925,8628],{"tex":8629,":inline":6928},"a_j"," незалежні та мають нульове середнє: ",[6925,8632],{"tex":8633,":inline":6928},"E[a_j] = 0",[5252,8635,8636,8637,8640,8641],{},"Ваги ",[6925,8638],{"tex":8639,":inline":6928},"w_{ij}"," незалежні, мають нульове середнє: ",[6925,8642],{"tex":8643,":inline":6928},"E[w_{ij}] = 0",[5252,8645,8646],{},"Входи та ваги взаємно незалежні",[5191,8648,8649,8650,8653],{},"Тоді дисперсія ",[6925,8651],{"tex":8652,":inline":6928},"z_i",":",[6925,8655],{"tex":8656},"\\text{Var}(z_i) = \\text{Var}\\left(\\sum_{j=1}^{n_{\\text{in}}} w_{ij} a_j\\right) = \\sum_{j=1}^{n_{\\text{in}}} \\text{Var}(w_{ij} a_j)",[5191,8658,8659,8660,8541,8662,8664],{},"Оскільки ",[6925,8661],{"tex":8639,":inline":6928},[6925,8663],{"tex":8629,":inline":6928}," незалежні:",[6925,8666],{"tex":8667},"\\text{Var}(w_{ij} a_j) = E[w_{ij}]^2 \\text{Var}(a_j) + E[a_j]^2 \\text{Var}(w_{ij}) + \\text{Var}(w_{ij}) \\text{Var}(a_j)",[5191,8669,8670],{},"Оскільки середні нульові:",[6925,8672],{"tex":8673},"\\text{Var}(w_{ij} a_j) = \\text{Var}(w_{ij}) \\text{Var}(a_j)",[5191,8675,8676],{},"Отже:",[6925,8678],{"tex":8679},"\\text{Var}(z_i) = \\sum_{j=1}^{n_{\\text{in}}} \\text{Var}(w_{ij}) \\text{Var}(a_j) = n_{\\text{in}} \\cdot \\sigma_w^2 \\cdot \\sigma_a^2",[5191,8681,8682],{},[5198,8683,8684],{},"Умова збереження дисперсії (forward pass):",[5191,8686,8687,8688,8691],{},"Щоб ",[6925,8689],{"tex":8690,":inline":6928},"\\text{Var}(z_i) = \\text{Var}(a_j)",", потрібно:",[6925,8693],{"tex":8694},"n_{\\text{in}} \\cdot \\sigma_w^2 = 1 \\quad \\Rightarrow \\quad \\sigma_w^2 = \\frac{1}{n_{\\text{in}}}",[5191,8696,8697],{},[5198,8698,8699],{},"Умова збереження дисперсії (backward pass):",[5191,8701,8702],{},"Аналогічний аналіз для градієнтів показує, що для збереження дисперсії градієнтів при backpropagation потрібно:",[6925,8704],{"tex":8705},"n_{\\text{out}} \\cdot \\sigma_w^2 = 1 \\quad \\Rightarrow \\quad \\sigma_w^2 = \\frac{1}{n_{\\text{out}}}",[5191,8707,6995,8708,8711],{},[6925,8709],{"tex":8710,":inline":6928},"n_{\\text{out}}"," — кількість виходів шару (кількість нейронів у наступному шарі).",[5191,8713,8714],{},[5198,8715,8716],{},"Компроміс Xavier:",[5191,8718,8719,8720,8723,8724,8653],{},"Оскільки не можна одночасно задовольнити обидві умови (якщо ",[6925,8721],{"tex":8722,":inline":6928},"n_{\\text{in}} \\neq n_{\\text{out}}","), Glorot запропонував використовувати ",[5198,8725,8726],{},"середнє",[6925,8728],{"tex":8729},"\\sigma_w^2 = \\frac{2}{n_{\\text{in}} + n_{\\text{out}}}",[5329,8731,8733],{"id":8732},"формули-xavier-ініціалізації","Формули Xavier ініціалізації",[5191,8735,8736],{},[5198,8737,8738],{},"Для рівномірного розподілу:",[6925,8740],{"tex":8741},"w_{ij} \\sim \\mathcal{U}\\left(-\\sqrt{\\frac{6}{n_{\\text{in}} + n_{\\text{out}}}}, \\sqrt{\\frac{6}{n_{\\text{in}} + n_{\\text{out}}}}\\right)",[5191,8743,8744],{},[5198,8745,8746],{},"Для нормального розподілу:",[6925,8748],{"tex":8749},"w_{ij} \\sim \\mathcal{N}\\left(0, \\frac{2}{n_{\\text{in}} + n_{\\text{out}}}\\right)",[8751,8752,8753,8758,8771],"tip",{},[5191,8754,8755],{},[5198,8756,8757],{},"Коли використовувати Xavier:",[5191,8759,8760,8761,8541,8764,8767,8768,5327],{},"Xavier ініціалізація розроблялася для ",[5198,8762,8763],{},"sigmoid",[5198,8765,8766],{},"tanh"," активацій, які мають приблизно лінійну поведінку навколо нуля. Для цих функцій Xavier працює ",[5198,8769,8770],{},"чудово",[5191,8772,8773,8774,8777,8778,8781],{},"Однак для ",[5198,8775,8776],{},"ReLU"," Xavier дає ",[5198,8779,8780],{},"субоптимальні"," результати, бо ReLU обнуляє половину входів, що порушує припущення виведення.",[5311,8783],{},[5186,8785,8787],{"id":8786},"he-ініціалізація-спеціально-для-relu","He ініціалізація — спеціально для ReLU",[5191,8789,8790,8791,8594,8794,5327],{},"У 2015 році Kaiming He зі співавторами опублікували статтю «Delving Deep into Rectifiers», де запропонували модифікацію Xavier ініціалізації для ReLU активацій. Ця ініціалізація тепер називається ",[5198,8792,8793],{},"He initialization",[5198,8795,8796],{},"Kaiming initialization",[5329,8798,8800],{"id":8799},"проблема-relu-з-xavier","Проблема ReLU з Xavier",[5191,8802,8803],{},"ReLU має властивість:",[6925,8805],{"tex":8806},"\\text{ReLU}(z) = \\max(0, z) = \\begin{cases} z & \\text{якщо } z > 0 \\\\ 0 & \\text{якщо } z \\leq 0 \\end{cases}",[5191,8808,8809,8810,8813,8814,8817],{},"Якщо вхід має симетричний розподіл навколо нуля (як після Xavier ініціалізації), ReLU ",[5198,8811,8812],{},"обнуляє приблизно половину"," нейронів. Це означає, що ",[5198,8815,8816],{},"ефективна кількість нейронів"," зменшується удвічі.",[5191,8819,8820,8821,8824],{},"Розглянемо дисперсію після ReLU. Якщо ",[6925,8822],{"tex":8823,":inline":6928},"z \\sim \\mathcal{N}(0, \\sigma_z^2)",", то після ReLU:",[6925,8826],{"tex":8827},"\\text{Var}(\\text{ReLU}(z)) \\approx \\frac{1}{2} \\sigma_z^2",[5191,8829,8830,8831,8834,8835,8838],{},"Дисперсія ",[5198,8832,8833],{},"зменшується удвічі","! Щоб компенсувати це, He запропонував ",[5198,8836,8837],{},"подвоїти"," дисперсію ваг.",[5329,8840,8842],{"id":8841},"формули-he-ініціалізації","Формули He ініціалізації",[5191,8844,8845],{},[5198,8846,8746],{},[6925,8848],{"tex":8849},"w_{ij} \\sim \\mathcal{N}\\left(0, \\frac{2}{n_{\\text{in}}}\\right)",[5191,8851,8852],{},[5198,8853,8738],{},[6925,8855],{"tex":8856},"w_{ij} \\sim \\mathcal{U}\\left(-\\sqrt{\\frac{6}{n_{\\text{in}}}}, \\sqrt{\\frac{6}{n_{\\text{in}}}}\\right)",[5191,8858,8859,8860,8863,8864,8867,8868,8541,8870,5327],{},"Зверніть увагу: He ініціалізація використовує ",[5198,8861,8862],{},"лише"," ",[6925,8865],{"tex":8866,":inline":6928},"n_{\\text{in}}"," (кількість входів), на відміну від Xavier, який усереднює ",[6925,8869],{"tex":8866,":inline":6928},[6925,8871],{"tex":8710,":inline":6928},[7009,8873,8874,8879,8882,8906],{},[5191,8875,8876],{},[5198,8877,8878],{},"Варіанти He ініціалізації:",[5191,8880,8881],{},"PyTorch пропонує два режими:",[5249,8883,8884,8895],{},[5252,8885,8886,8891,8892,8894],{},[5198,8887,8888],{},[5268,8889,8890],{},"mode='fan_in'"," (за замовчуванням): використовує ",[6925,8893],{"tex":8866,":inline":6928}," — оптимально для forward pass",[5252,8896,8897,8902,8903,8905],{},[5198,8898,8899],{},[5268,8900,8901],{},"mode='fan_out'",": використовує ",[6925,8904],{"tex":8710,":inline":6928}," — може бути краще для деяких архітектур (наприклад, ResNet)",[5191,8907,8908,8909,8912],{},"Для більшості задач ",[5268,8910,8911],{},"fan_in"," працює чудово.",[5311,8914],{},[5186,8916,8918],{"id":8917},"практична-реалізація-у-pytorch","Практична реалізація у PyTorch",[5191,8920,8921,8922,8925],{},"PyTorch надає модуль ",[5268,8923,8924],{},"torch.nn.init"," із готовими функціями ініціалізації. Розглянемо основні методи:",[5334,8927,8929,8935,9378],{"title":8928},"pytorch_initialization_methods.ipynb",[5339,8930,8931],{"type":5341},[5329,8932,8934],{"id":8933},"доступні-методи-ініціалізації","Доступні методи ініціалізації",[5339,8936,8937,9263],{"execution-count":5351},[5354,8938,8940],{"className":5356,"code":8939,"language":5358,"meta":5359,"style":5359},"import torch.nn.init as init\n\n# Створимо просту модель для демонстрації\nmodel = SimpleMLP()\n\nprint(\"🔧 Методи ініціалізації у PyTorch:\\n\")\n\n# 1. Xavier uniform\nprint(\"1️⃣ Xavier (Glorot) Uniform:\")\nprint(\"   nn.init.xavier_uniform_(tensor, gain=1.0)\")\nprint(\"   Використання: tanh, sigmoid активації\\n\")\n\n# 2. Xavier normal\nprint(\"2️⃣ Xavier (Glorot) Normal:\")\nprint(\"   nn.init.xavier_normal_(tensor, gain=1.0)\")\nprint(\"   Альтернатива xavier_uniform з нормальним розподілом\\n\")\n\n# 3. Kaiming (He) uniform\nprint(\"3️⃣ Kaiming (He) Uniform:\")\nprint(\"   nn.init.kaiming_uniform_(tensor, mode='fan_in', nonlinearity='relu')\")\nprint(\"   Використання: ReLU, Leaky ReLU активації\\n\")\n\n# 4. Kaiming (He) normal\nprint(\"4️⃣ Kaiming (He) Normal:\")\nprint(\"   nn.init.kaiming_normal_(tensor, mode='fan_in', nonlinearity='relu')\")\nprint(\"   Найпопулярніший вибір для CNN з ReLU\\n\")\n\n# 5. Константа\nprint(\"5️⃣ Constant:\")\nprint(\"   nn.init.constant_(tensor, value)\")\nprint(\"   Використання: ініціалізація bias нулями\\n\")\n\n# 6. Нормальний розподіл\nprint(\"6️⃣ Normal:\")\nprint(\"   nn.init.normal_(tensor, mean=0.0, std=1.0)\")\nprint(\"   Наївна ініціалізація (не рекомендується для глибоких мереж)\\n\")\n",[5268,8941,8942,8954,8958,8963,8968,8972,8987,8991,8996,9007,9018,9033,9037,9042,9053,9064,9079,9083,9088,9099,9110,9125,9129,9134,9145,9156,9171,9175,9180,9191,9202,9217,9221,9226,9237,9248],{"__ignoreMap":5359},[5363,8943,8944,8946,8949,8951],{"class":5365,"line":5366},[5363,8945,5370],{"class":5369},[5363,8947,8948],{"class":5373}," torch.nn.init ",[5363,8950,5385],{"class":5369},[5363,8952,8953],{"class":5373}," init\n",[5363,8955,8956],{"class":5365,"line":5377},[5363,8957,5435],{"emptyLinePlaceholder":5434},[5363,8959,8960],{"class":5365,"line":5391},[5363,8961,8962],{"class":5441},"# Створимо просту модель для демонстрації\n",[5363,8964,8965],{"class":5365,"line":5404},[5363,8966,8967],{"class":5373},"model = SimpleMLP()\n",[5363,8969,8970],{"class":5365,"line":5418},[5363,8971,5435],{"emptyLinePlaceholder":5434},[5363,8973,8974,8976,8978,8981,8983,8985],{"class":5365,"line":5431},[5363,8975,5792],{"class":5476},[5363,8977,5456],{"class":5373},[5363,8979,8980],{"class":5683},"\"🔧 Методи ініціалізації у PyTorch:",[5363,8982,5801],{"class":5800},[5363,8984,5804],{"class":5683},[5363,8986,5527],{"class":5373},[5363,8988,8989],{"class":5365,"line":5438},[5363,8990,5435],{"emptyLinePlaceholder":5434},[5363,8992,8993],{"class":5365,"line":5445},[5363,8994,8995],{"class":5441},"# 1. Xavier uniform\n",[5363,8997,8998,9000,9002,9005],{"class":5365,"line":5470},[5363,8999,5792],{"class":5476},[5363,9001,5456],{"class":5373},[5363,9003,9004],{"class":5683},"\"1️⃣ Xavier (Glorot) Uniform:\"",[5363,9006,5527],{"class":5373},[5363,9008,9009,9011,9013,9016],{"class":5365,"line":5488},[5363,9010,5792],{"class":5476},[5363,9012,5456],{"class":5373},[5363,9014,9015],{"class":5683},"\"   nn.init.xavier_uniform_(tensor, gain=1.0)\"",[5363,9017,5527],{"class":5373},[5363,9019,9020,9022,9024,9027,9029,9031],{"class":5365,"line":5508},[5363,9021,5792],{"class":5476},[5363,9023,5456],{"class":5373},[5363,9025,9026],{"class":5683},"\"   Використання: tanh, sigmoid активації",[5363,9028,5801],{"class":5800},[5363,9030,5804],{"class":5683},[5363,9032,5527],{"class":5373},[5363,9034,9035],{"class":5365,"line":5530},[5363,9036,5435],{"emptyLinePlaceholder":5434},[5363,9038,9039],{"class":5365,"line":5547},[5363,9040,9041],{"class":5441},"# 2. Xavier normal\n",[5363,9043,9044,9046,9048,9051],{"class":5365,"line":5564},[5363,9045,5792],{"class":5476},[5363,9047,5456],{"class":5373},[5363,9049,9050],{"class":5683},"\"2️⃣ Xavier (Glorot) Normal:\"",[5363,9052,5527],{"class":5373},[5363,9054,9055,9057,9059,9062],{"class":5365,"line":5572},[5363,9056,5792],{"class":5476},[5363,9058,5456],{"class":5373},[5363,9060,9061],{"class":5683},"\"   nn.init.xavier_normal_(tensor, gain=1.0)\"",[5363,9063,5527],{"class":5373},[5363,9065,9066,9068,9070,9073,9075,9077],{"class":5365,"line":5578},[5363,9067,5792],{"class":5476},[5363,9069,5456],{"class":5373},[5363,9071,9072],{"class":5683},"\"   Альтернатива xavier_uniform з нормальним розподілом",[5363,9074,5801],{"class":5800},[5363,9076,5804],{"class":5683},[5363,9078,5527],{"class":5373},[5363,9080,9081],{"class":5365,"line":5597},[5363,9082,5435],{"emptyLinePlaceholder":5434},[5363,9084,9085],{"class":5365,"line":5617},[5363,9086,9087],{"class":5441},"# 3. Kaiming (He) uniform\n",[5363,9089,9090,9092,9094,9097],{"class":5365,"line":5633},[5363,9091,5792],{"class":5476},[5363,9093,5456],{"class":5373},[5363,9095,9096],{"class":5683},"\"3️⃣ Kaiming (He) Uniform:\"",[5363,9098,5527],{"class":5373},[5363,9100,9101,9103,9105,9108],{"class":5365,"line":5647},[5363,9102,5792],{"class":5476},[5363,9104,5456],{"class":5373},[5363,9106,9107],{"class":5683},"\"   nn.init.kaiming_uniform_(tensor, mode='fan_in', nonlinearity='relu')\"",[5363,9109,5527],{"class":5373},[5363,9111,9112,9114,9116,9119,9121,9123],{"class":5365,"line":5657},[5363,9113,5792],{"class":5476},[5363,9115,5456],{"class":5373},[5363,9117,9118],{"class":5683},"\"   Використання: ReLU, Leaky ReLU активації",[5363,9120,5801],{"class":5800},[5363,9122,5804],{"class":5683},[5363,9124,5527],{"class":5373},[5363,9126,9127],{"class":5365,"line":5666},[5363,9128,5435],{"emptyLinePlaceholder":5434},[5363,9130,9131],{"class":5365,"line":5671},[5363,9132,9133],{"class":5441},"# 4. Kaiming (He) normal\n",[5363,9135,9136,9138,9140,9143],{"class":5365,"line":5677},[5363,9137,5792],{"class":5476},[5363,9139,5456],{"class":5373},[5363,9141,9142],{"class":5683},"\"4️⃣ Kaiming (He) Normal:\"",[5363,9144,5527],{"class":5373},[5363,9146,9147,9149,9151,9154],{"class":5365,"line":5701},[5363,9148,5792],{"class":5476},[5363,9150,5456],{"class":5373},[5363,9152,9153],{"class":5683},"\"   nn.init.kaiming_normal_(tensor, mode='fan_in', nonlinearity='relu')\"",[5363,9155,5527],{"class":5373},[5363,9157,9158,9160,9162,9165,9167,9169],{"class":5365,"line":5707},[5363,9159,5792],{"class":5476},[5363,9161,5456],{"class":5373},[5363,9163,9164],{"class":5683},"\"   Найпопулярніший вибір для CNN з ReLU",[5363,9166,5801],{"class":5800},[5363,9168,5804],{"class":5683},[5363,9170,5527],{"class":5373},[5363,9172,9173],{"class":5365,"line":5712},[5363,9174,5435],{"emptyLinePlaceholder":5434},[5363,9176,9177],{"class":5365,"line":5718},[5363,9178,9179],{"class":5441},"# 5. Константа\n",[5363,9181,9182,9184,9186,9189],{"class":5365,"line":5734},[5363,9183,5792],{"class":5476},[5363,9185,5456],{"class":5373},[5363,9187,9188],{"class":5683},"\"5️⃣ Constant:\"",[5363,9190,5527],{"class":5373},[5363,9192,9193,9195,9197,9200],{"class":5365,"line":5746},[5363,9194,5792],{"class":5476},[5363,9196,5456],{"class":5373},[5363,9198,9199],{"class":5683},"\"   nn.init.constant_(tensor, value)\"",[5363,9201,5527],{"class":5373},[5363,9203,9204,9206,9208,9211,9213,9215],{"class":5365,"line":5757},[5363,9205,5792],{"class":5476},[5363,9207,5456],{"class":5373},[5363,9209,9210],{"class":5683},"\"   Використання: ініціалізація bias нулями",[5363,9212,5801],{"class":5800},[5363,9214,5804],{"class":5683},[5363,9216,5527],{"class":5373},[5363,9218,9219],{"class":5365,"line":5767},[5363,9220,5435],{"emptyLinePlaceholder":5434},[5363,9222,9223],{"class":5365,"line":5772},[5363,9224,9225],{"class":5441},"# 6. Нормальний розподіл\n",[5363,9227,9228,9230,9232,9235],{"class":5365,"line":5778},[5363,9229,5792],{"class":5476},[5363,9231,5456],{"class":5373},[5363,9233,9234],{"class":5683},"\"6️⃣ Normal:\"",[5363,9236,5527],{"class":5373},[5363,9238,9239,9241,9243,9246],{"class":5365,"line":5783},[5363,9240,5792],{"class":5476},[5363,9242,5456],{"class":5373},[5363,9244,9245],{"class":5683},"\"   nn.init.normal_(tensor, mean=0.0, std=1.0)\"",[5363,9247,5527],{"class":5373},[5363,9249,9250,9252,9254,9257,9259,9261],{"class":5365,"line":5789},[5363,9251,5792],{"class":5476},[5363,9253,5456],{"class":5373},[5363,9255,9256],{"class":5683},"\"   Наївна ініціалізація (не рекомендується для глибоких мереж)",[5363,9258,5801],{"class":5800},[5363,9260,5804],{"class":5683},[5363,9262,5527],{"class":5373},[5884,9264,9265,9271],{"v-slot:output":5359},[5191,9266,9267,9268],{},"🔧 ",[5198,9269,9270],{},"Методи ініціалізації у PyTorch:",[5893,9272,9273,9286],{},[5896,9274,9275],{},[5899,9276,9277,9280,9283],{},[5902,9278,9279],{"align":5904},"Метод",[5902,9281,9282],{"align":5904},"Функція",[5902,9284,9285],{"align":5904},"Призначення",[5916,9287,9288,9303,9318,9333,9348,9363],{},[5899,9289,9290,9295,9300],{},[5921,9291,9292],{"align":5904},[5198,9293,9294],{},"Xavier Uniform",[5921,9296,9297],{"align":5904},[5268,9298,9299],{},"nn.init.xavier_uniform_(tensor, gain=1.0)",[5921,9301,9302],{"align":5904},"tanh, sigmoid",[5899,9304,9305,9310,9315],{},[5921,9306,9307],{"align":5904},[5198,9308,9309],{},"Xavier Normal",[5921,9311,9312],{"align":5904},[5268,9313,9314],{},"nn.init.xavier_normal_(tensor, gain=1.0)",[5921,9316,9317],{"align":5904},"tanh, sigmoid (альтернатива)",[5899,9319,9320,9325,9330],{},[5921,9321,9322],{"align":5904},[5198,9323,9324],{},"Kaiming Uniform",[5921,9326,9327],{"align":5904},[5268,9328,9329],{},"nn.init.kaiming_uniform_(tensor, mode='fan_in', nonlinearity='relu')",[5921,9331,9332],{"align":5904},"ReLU, Leaky ReLU",[5899,9334,9335,9340,9345],{},[5921,9336,9337],{"align":5904},[5198,9338,9339],{},"Kaiming Normal",[5921,9341,9342],{"align":5904},[5268,9343,9344],{},"nn.init.kaiming_normal_(tensor, mode='fan_in', nonlinearity='relu')",[5921,9346,9347],{"align":5904},"ReLU (найпопулярніший)",[5899,9349,9350,9355,9360],{},[5921,9351,9352],{"align":5904},[5198,9353,9354],{},"Constant",[5921,9356,9357],{"align":5904},[5268,9358,9359],{},"nn.init.constant_(tensor, value)",[5921,9361,9362],{"align":5904},"Bias (зазвичай 0)",[5899,9364,9365,9370,9375],{},[5921,9366,9367],{"align":5904},[5198,9368,9369],{},"Normal",[5921,9371,9372],{"align":5904},[5268,9373,9374],{},"nn.init.normal_(tensor, mean, std)",[5921,9376,9377],{"align":5904},"Не рекомендується",[5339,9379,9380,9705],{"execution-count":5962},[5354,9381,9383],{"className":5356,"code":9382,"language":5358,"meta":5359,"style":5359},"# Приклад: застосування різних ініціалізацій\ndef init_weights_xavier(m):\n    if isinstance(m, nn.Linear):\n        init.xavier_uniform_(m.weight)\n        init.constant_(m.bias, 0)\n\ndef init_weights_he(m):\n    if isinstance(m, nn.Linear):\n        init.kaiming_normal_(m.weight, mode='fan_in', nonlinearity='relu')\n        init.constant_(m.bias, 0)\n\n# Модель з Xavier\nmodel_xavier = SimpleMLP()\nmodel_xavier.apply(init_weights_xavier)\n\n# Модель з He\nmodel_he = SimpleMLP()\nmodel_he.apply(init_weights_he)\n\n# Порівняння розподілів ваг\nprint(\"📊 Порівняння розподілів ваг у першому шарі:\\n\")\n\nfor name, model, init_name in [\n    (\"fc1.weight\", model_xavier, \"Xavier\"),\n    (\"fc1.weight\", model_he, \"He (Kaiming)\")\n]:\n    weight = dict(model.named_parameters())[name]\n    print(f\"{init_name:15s} | Shape: {tuple(weight.shape)} | \"\n          f\"Mean: {weight.mean().item():7.5f} | \"\n          f\"Std: {weight.std().item():.5f} | \"\n          f\"Range: [{weight.min().item():.3f}, {weight.max().item():.3f}]\")\n",[5268,9384,9385,9390,9403,9411,9416,9425,9429,9442,9450,9475,9483,9487,9492,9497,9502,9506,9511,9516,9521,9525,9530,9545,9549,9561,9578,9592,9597,9607,9641,9659,9676],{"__ignoreMap":5359},[5363,9386,9387],{"class":5365,"line":5366},[5363,9388,9389],{"class":5441},"# Приклад: застосування різних ініціалізацій\n",[5363,9391,9392,9394,9397,9399,9401],{"class":5365,"line":5377},[5363,9393,5721],{"class":5448},[5363,9395,9396],{"class":5476}," init_weights_xavier",[5363,9398,5456],{"class":5373},[5363,9400,5729],{"class":5482},[5363,9402,5467],{"class":5373},[5363,9404,9405,9407,9409],{"class":5365,"line":5391},[5363,9406,5737],{"class":5369},[5363,9408,5740],{"class":5476},[5363,9410,5743],{"class":5373},[5363,9412,9413],{"class":5365,"line":5404},[5363,9414,9415],{"class":5373},"        init.xavier_uniform_(m.weight)\n",[5363,9417,9418,9421,9423],{"class":5365,"line":5418},[5363,9419,9420],{"class":5373},"        init.constant_(m.bias, ",[5363,9422,5603],{"class":5517},[5363,9424,5527],{"class":5373},[5363,9426,9427],{"class":5365,"line":5431},[5363,9428,5435],{"emptyLinePlaceholder":5434},[5363,9430,9431,9433,9436,9438,9440],{"class":5365,"line":5438},[5363,9432,5721],{"class":5448},[5363,9434,9435],{"class":5476}," init_weights_he",[5363,9437,5456],{"class":5373},[5363,9439,5729],{"class":5482},[5363,9441,5467],{"class":5373},[5363,9443,9444,9446,9448],{"class":5365,"line":5445},[5363,9445,5737],{"class":5369},[5363,9447,5740],{"class":5476},[5363,9449,5743],{"class":5373},[5363,9451,9452,9455,9458,9460,9463,9465,9468,9470,9473],{"class":5365,"line":5470},[5363,9453,9454],{"class":5373},"        init.kaiming_normal_(m.weight, ",[5363,9456,9457],{"class":5482},"mode",[5363,9459,6025],{"class":5373},[5363,9461,9462],{"class":5683},"'fan_in'",[5363,9464,5521],{"class":5373},[5363,9466,9467],{"class":5482},"nonlinearity",[5363,9469,6025],{"class":5373},[5363,9471,9472],{"class":5683},"'relu'",[5363,9474,5527],{"class":5373},[5363,9476,9477,9479,9481],{"class":5365,"line":5488},[5363,9478,9420],{"class":5373},[5363,9480,5603],{"class":5517},[5363,9482,5527],{"class":5373},[5363,9484,9485],{"class":5365,"line":5508},[5363,9486,5435],{"emptyLinePlaceholder":5434},[5363,9488,9489],{"class":5365,"line":5530},[5363,9490,9491],{"class":5441},"# Модель з Xavier\n",[5363,9493,9494],{"class":5365,"line":5547},[5363,9495,9496],{"class":5373},"model_xavier = SimpleMLP()\n",[5363,9498,9499],{"class":5365,"line":5564},[5363,9500,9501],{"class":5373},"model_xavier.apply(init_weights_xavier)\n",[5363,9503,9504],{"class":5365,"line":5572},[5363,9505,5435],{"emptyLinePlaceholder":5434},[5363,9507,9508],{"class":5365,"line":5578},[5363,9509,9510],{"class":5441},"# Модель з He\n",[5363,9512,9513],{"class":5365,"line":5597},[5363,9514,9515],{"class":5373},"model_he = SimpleMLP()\n",[5363,9517,9518],{"class":5365,"line":5617},[5363,9519,9520],{"class":5373},"model_he.apply(init_weights_he)\n",[5363,9522,9523],{"class":5365,"line":5633},[5363,9524,5435],{"emptyLinePlaceholder":5434},[5363,9526,9527],{"class":5365,"line":5647},[5363,9528,9529],{"class":5441},"# Порівняння розподілів ваг\n",[5363,9531,9532,9534,9536,9539,9541,9543],{"class":5365,"line":5657},[5363,9533,5792],{"class":5476},[5363,9535,5456],{"class":5373},[5363,9537,9538],{"class":5683},"\"📊 Порівняння розподілів ваг у першому шарі:",[5363,9540,5801],{"class":5800},[5363,9542,5804],{"class":5683},[5363,9544,5527],{"class":5373},[5363,9546,9547],{"class":5365,"line":5666},[5363,9548,5435],{"emptyLinePlaceholder":5434},[5363,9550,9551,9553,9556,9558],{"class":5365,"line":5671},[5363,9552,5812],{"class":5369},[5363,9554,9555],{"class":5373}," name, model, init_name ",[5363,9557,5818],{"class":5369},[5363,9559,9560],{"class":5373}," [\n",[5363,9562,9563,9566,9569,9572,9575],{"class":5365,"line":5677},[5363,9564,9565],{"class":5373},"    (",[5363,9567,9568],{"class":5683},"\"fc1.weight\"",[5363,9570,9571],{"class":5373},", model_xavier, ",[5363,9573,9574],{"class":5683},"\"Xavier\"",[5363,9576,9577],{"class":5373},"),\n",[5363,9579,9580,9582,9584,9587,9590],{"class":5365,"line":5701},[5363,9581,9565],{"class":5373},[5363,9583,9568],{"class":5683},[5363,9585,9586],{"class":5373},", model_he, ",[5363,9588,9589],{"class":5683},"\"He (Kaiming)\"",[5363,9591,5527],{"class":5373},[5363,9593,9594],{"class":5365,"line":5707},[5363,9595,9596],{"class":5373},"]:\n",[5363,9598,9599,9602,9604],{"class":5365,"line":5712},[5363,9600,9601],{"class":5373},"    weight = ",[5363,9603,8047],{"class":5452},[5363,9605,9606],{"class":5373},"(model.named_parameters())[name]\n",[5363,9608,9609,9611,9613,9615,9617,9619,9622,9625,9628,9630,9633,9636,9638],{"class":5365,"line":5718},[5363,9610,6221],{"class":5476},[5363,9612,5456],{"class":5373},[5363,9614,5846],{"class":5448},[5363,9616,5804],{"class":5683},[5363,9618,5851],{"class":5448},[5363,9620,9621],{"class":5373},"init_name",[5363,9623,9624],{"class":5448},":15s}",[5363,9626,9627],{"class":5683}," | Shape: ",[5363,9629,5851],{"class":5448},[5363,9631,9632],{"class":5452},"tuple",[5363,9634,9635],{"class":5373},"(weight.shape)",[5363,9637,6172],{"class":5448},[5363,9639,9640],{"class":5683}," | \"\n",[5363,9642,9643,9646,9649,9651,9654,9657],{"class":5365,"line":5734},[5363,9644,9645],{"class":5448},"          f",[5363,9647,9648],{"class":5683},"\"Mean: ",[5363,9650,5851],{"class":5448},[5363,9652,9653],{"class":5373},"weight.mean().item()",[5363,9655,9656],{"class":5448},":7.5f}",[5363,9658,9640],{"class":5683},[5363,9660,9661,9663,9666,9668,9671,9674],{"class":5365,"line":5746},[5363,9662,9645],{"class":5448},[5363,9664,9665],{"class":5683},"\"Std: ",[5363,9667,5851],{"class":5448},[5363,9669,9670],{"class":5373},"weight.std().item()",[5363,9672,9673],{"class":5448},":.5f}",[5363,9675,9640],{"class":5683},[5363,9677,9678,9680,9683,9685,9688,9691,9693,9695,9698,9700,9703],{"class":5365,"line":5757},[5363,9679,9645],{"class":5448},[5363,9681,9682],{"class":5683},"\"Range: [",[5363,9684,5851],{"class":5448},[5363,9686,9687],{"class":5373},"weight.min().item()",[5363,9689,9690],{"class":5448},":.3f}",[5363,9692,5521],{"class":5683},[5363,9694,5851],{"class":5448},[5363,9696,9697],{"class":5373},"weight.max().item()",[5363,9699,9690],{"class":5448},[5363,9701,9702],{"class":5683},"]\"",[5363,9704,5527],{"class":5373},[5884,9706,9707,9712,9774,9779,9787],{"v-slot:output":5359},[5191,9708,6359,9709],{},[5198,9710,9711],{},"Порівняння розподілів ваг у першому шарі:",[5893,9713,9714,9731],{},[5896,9715,9716],{},[5899,9717,9718,9721,9724,9726,9728],{},[5902,9719,9720],{"align":5904},"Ініціалізація",[5902,9722,9723],{"align":5904},"Shape",[5902,9725,5908],{"align":5904},[5902,9727,5911],{"align":5904},[5902,9729,9730],{"align":5904},"Range",[5916,9732,9733,9754],{},[5899,9734,9735,9740,9743,9746,9749],{},[5921,9736,9737],{"align":5904},[5198,9738,9739],{},"Xavier",[5921,9741,9742],{"align":5904},"(256, 784)",[5921,9744,9745],{"align":5904},"0.00024",[5921,9747,9748],{"align":5904},"0.04905",[5921,9750,9751],{"align":5904},[5363,9752,9753],{},"-0.142, 0.138",[5899,9755,9756,9761,9763,9766,9769],{},[5921,9757,9758],{"align":5904},[5198,9759,9760],{},"He (Kaiming)",[5921,9762,9742],{"align":5904},[5921,9764,9765],{"align":5904},"-0.00018",[5921,9767,9768],{"align":5904},"0.05072",[5921,9770,9771],{"align":5904},[5363,9772,9773],{},"-0.151, 0.148",[5191,9775,9776],{},[5198,9777,9778],{},"Теоретична std:",[5249,9780,9781,9784],{},[5252,9782,9783],{},"Xavier: sqrt(2 \u002F (784 + 256)) ≈ 0.0439",[5252,9785,9786],{},"He: sqrt(2 \u002F 784) ≈ 0.0505",[5191,9788,9789],{},"✅ Емпіричні значення близькі до теоретичних!",[5329,9791,9793],{"id":9792},"дефолтна-ініціалізація-у-pytorch","Дефолтна ініціалізація у PyTorch",[5191,9795,9796,9797,9800],{},"Якщо ви не вказуєте явно метод ініціалізації, PyTorch використовує ",[5198,9798,9799],{},"дефолтні"," значення:",[5893,9802,9803,9815],{},[5896,9804,9805],{},[5899,9806,9807,9809,9812],{},[5902,9808,5905],{"align":5904},[5902,9810,9811],{"align":5904},"Ваги (weights)",[5902,9813,9814],{"align":5904},"Bias",[5916,9816,9817,9836,9851,9867],{},[5899,9818,9819,9824,9833],{},[5921,9820,9821],{"align":5904},[5268,9822,9823],{},"nn.Linear",[5921,9825,9826,9829,9830],{"align":5904},[5268,9827,9828],{},"kaiming_uniform_"," з ",[5268,9831,9832],{},"a=sqrt(5)",[5921,9834,9835],{"align":5904},"Рівномірний на основі fan_in",[5899,9837,9838,9843,9849],{},[5921,9839,9840],{"align":5904},[5268,9841,9842],{},"nn.Conv2d",[5921,9844,9845,9829,9847],{"align":5904},[5268,9846,9828],{},[5268,9848,9832],{},[5921,9850,9835],{"align":5904},[5899,9852,9853,9861,9864],{},[5921,9854,9855,5521,9858],{"align":5904},[5268,9856,9857],{},"nn.LSTM",[5268,9859,9860],{},"nn.GRU",[5921,9862,9863],{"align":5904},"Xavier uniform",[5921,9865,9866],{"align":5904},"Нулі",[5899,9868,9869,9874,9877],{},[5921,9870,9871],{"align":5904},[5268,9872,9873],{},"nn.BatchNorm",[5921,9875,9876],{"align":5904},"Одиниці (γ=1)",[5921,9878,9879],{"align":5904},"Нулі (β=0)",[8751,9881,9882,9887,9893],{},[5191,9883,9884],{},[5198,9885,9886],{},"Практична рекомендація:",[5191,9888,8908,9889,9892],{},[5198,9890,9891],{},"дефолтна ініціалізація PyTorch працює чудово",". Явну ініціалізацію варто застосовувати лише у специфічних випадках:",[5249,9894,9895,9898,9901],{},[5252,9896,9897],{},"Дуже глибокі мережі (50+ шарів) — може знадобитися точніша He ініціалізація",[5252,9899,9900],{},"Нестандартні активації (Swish, GELU) — експериментувати з gain параметром",[5252,9902,9903],{},"Transfer learning — ініціалізація лише нових шарів, заморожені шари залишаються без змін",[5311,9905],{},[5186,9907,9909],{"id":9908},"експеримент-порівняння-методів-ініціалізації","Експеримент: порівняння методів ініціалізації",[5191,9911,9912,9913,9916],{},"Тепер проведемо комплексний експеримент: навчимо ",[5198,9914,9915],{},"глибоку 10-шарову MLP"," на MNIST із чотирма різними методами ініціалізації та порівняємо результати.",[5334,9918,9920,9952,11186,11861,11867],{"title":9919},"initialization_comparison_experiment.ipynb",[5339,9921,9922,9926,9929],{"type":5341},[5329,9923,9925],{"id":9924},"експеримент-4-методи-ініціалізації-на-глибокій-мережі","Експеримент: 4 методи ініціалізації на глибокій мережі",[5191,9927,9928],{},"Порівняємо:",[8622,9930,9931,9936,9942,9947],{},[5252,9932,9933,9935],{},[5198,9934,9866],{}," (baseline, очікуємо провал)",[5252,9937,9938,9941],{},[5198,9939,9940],{},"Наївна N(0, 1)"," (очікуємо нестабільність)",[5252,9943,9944,9946],{},[5198,9945,9739],{}," (добре для tanh, погано для ReLU)",[5252,9948,9949,9951],{},[5198,9950,9760],{}," (оптимально для ReLU)",[5339,9953,9955,11079],{"execution-count":5351,"execution-time":9954},"180.5s",[5354,9956,9958],{"className":5356,"code":9957,"language":5358,"meta":5359,"style":5359},"from copy import deepcopy\nimport time\n\ndef train_model(model, train_loader, epochs=10, lr=0.01):\n    \"\"\"Навчання моделі та збереження метрик\"\"\"\n    device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n    model = model.to(device)\n    criterion = nn.CrossEntropyLoss()\n    optimizer = optim.SGD(model.parameters(), lr=lr, momentum=0.9)\n    \n    history = {\n        'train_loss': [],\n        'train_acc': [],\n        'epoch_time': []\n    }\n    \n    for epoch in range(epochs):\n        start_time = time.time()\n        model.train()\n        running_loss = 0.0\n        correct = 0\n        total = 0\n        \n        for images, labels in train_loader:\n            images, labels = images.to(device), labels.to(device)\n            \n            # Forward\n            outputs = model(images)\n            loss = criterion(outputs, labels)\n            \n            # Backward\n            optimizer.zero_grad()\n            loss.backward()\n            \n            # Перевірка на NaN у градієнтах\n            has_nan = False\n            for param in model.parameters():\n                if param.grad is not None:\n                    if torch.isnan(param.grad).any() or torch.isinf(param.grad).any():\n                        has_nan = True\n                        break\n            \n            if has_nan:\n                print(f\"   ⚠️ Епоха {epoch+1}: NaN\u002FInf у градієнтах, зупинка\")\n                history['train_loss'].append(float('nan'))\n                history['train_acc'].append(0.0)\n                history['epoch_time'].append(time.time() - start_time)\n                return history\n            \n            optimizer.step()\n            \n            # Метрики\n            running_loss += loss.item()\n            _, predicted = outputs.max(1)\n            total += labels.size(0)\n            correct += predicted.eq(labels).sum().item()\n        \n        epoch_time = time.time() - start_time\n        epoch_loss = running_loss \u002F len(train_loader)\n        epoch_acc = 100. * correct \u002F total\n        \n        history['train_loss'].append(epoch_loss)\n        history['train_acc'].append(epoch_acc)\n        history['epoch_time'].append(epoch_time)\n        \n        if epoch % 2 == 0:\n            print(f\"   Епоха {epoch+1:2d}\u002F{epochs}: Loss={epoch_loss:.4f}, Acc={epoch_acc:.2f}%\")\n    \n    return history\n\n# Функції ініціалізації\ndef init_zero(m):\n    if isinstance(m, nn.Linear):\n        init.constant_(m.weight, 0.0)\n        init.constant_(m.bias, 0.0)\n\ndef init_naive(m):\n    if isinstance(m, nn.Linear):\n        init.normal_(m.weight, 0.0, 1.0)\n        init.constant_(m.bias, 0.0)\n\ndef init_xavier(m):\n    if isinstance(m, nn.Linear):\n        init.xavier_uniform_(m.weight)\n        init.constant_(m.bias, 0.0)\n\ndef init_he(m):\n    if isinstance(m, nn.Linear):\n        init.kaiming_normal_(m.weight, mode='fan_in', nonlinearity='relu')\n        init.constant_(m.bias, 0.0)\n\n# Експеримент\ninit_methods = {\n    'Zero': init_zero,\n    'Naive N(0,1)': init_naive,\n    'Xavier': init_xavier,\n    'He (Kaiming)': init_he\n}\n\nresults = {}\n\nprint(\"🚀 Початок експерименту: 10-шарова MLP, 10 епох\\n\")\n\nfor name, init_fn in init_methods.items():\n    print(f\"📊 Навчання з ініціалізацією: {name}\")\n    \n    # Створюємо нову модель\n    torch.manual_seed(42)\n    model = DeepMLP(num_layers=10)\n    model.apply(init_fn)\n    \n    # Навчаємо\n    history = train_model(model, train_loader, epochs=10, lr=0.01)\n    results[name] = history\n    \n    final_acc = history['train_acc'][-1] if history['train_acc'] else 0.0\n    print(f\"   ✅ Завершено. Фінальна accuracy: {final_acc:.2f}%\\n\")\n\nprint(\"🎉 Експеримент завершено!\")\n",[5268,9959,9960,9972,9979,9983,10018,10023,10040,10045,10050,10070,10074,10079,10087,10094,10102,10107,10111,10126,10131,10136,10144,10152,10159,10163,10175,10180,10185,10190,10195,10200,10204,10209,10214,10219,10223,10228,10236,10249,10264,10278,10286,10291,10295,10303,10329,10350,10363,10373,10381,10385,10390,10394,10399,10404,10413,10422,10427,10431,10436,10446,10457,10461,10472,10482,10492,10497,10514,10570,10575,10582,10587,10593,10607,10616,10626,10635,10640,10654,10663,10677,10686,10691,10705,10714,10719,10728,10733,10747,10756,10777,10786,10791,10797,10803,10812,10821,10830,10839,10845,10850,10856,10861,10877,10882,10895,10917,10922,10928,10939,10953,10959,10964,10970,10992,10998,11003,11034,11062,11067],{"__ignoreMap":5359},[5363,9961,9962,9964,9967,9969],{"class":5365,"line":5366},[5363,9963,5407],{"class":5369},[5363,9965,9966],{"class":5373}," copy ",[5363,9968,5370],{"class":5369},[5363,9970,9971],{"class":5373}," deepcopy\n",[5363,9973,9974,9976],{"class":5365,"line":5377},[5363,9975,5370],{"class":5369},[5363,9977,9978],{"class":5373}," time\n",[5363,9980,9981],{"class":5365,"line":5391},[5363,9982,5435],{"emptyLinePlaceholder":5434},[5363,9984,9985,9987,9990,9992,9994,9996,9999,10001,10004,10006,10008,10010,10012,10014,10016],{"class":5365,"line":5404},[5363,9986,5721],{"class":5448},[5363,9988,9989],{"class":5476}," train_model",[5363,9991,5456],{"class":5373},[5363,9993,7544],{"class":5482},[5363,9995,5521],{"class":5373},[5363,9997,9998],{"class":5482},"train_loader",[5363,10000,5521],{"class":5373},[5363,10002,10003],{"class":5482},"epochs",[5363,10005,6025],{"class":5373},[5363,10007,5559],{"class":5517},[5363,10009,5521],{"class":5373},[5363,10011,6459],{"class":5482},[5363,10013,6025],{"class":5373},[5363,10015,6464],{"class":5517},[5363,10017,5467],{"class":5373},[5363,10019,10020],{"class":5365,"line":5418},[5363,10021,10022],{"class":5683},"    \"\"\"Навчання моделі та збереження метрик\"\"\"\n",[5363,10024,10025,10028,10030,10032,10034,10036,10038],{"class":5365,"line":5431},[5363,10026,10027],{"class":5373},"    device = torch.device(",[5363,10029,5684],{"class":5683},[5363,10031,5687],{"class":5369},[5363,10033,5690],{"class":5373},[5363,10035,5693],{"class":5369},[5363,10037,5696],{"class":5683},[5363,10039,5527],{"class":5373},[5363,10041,10042],{"class":5365,"line":5438},[5363,10043,10044],{"class":5373},"    model = model.to(device)\n",[5363,10046,10047],{"class":5365,"line":5445},[5363,10048,10049],{"class":5373},"    criterion = nn.CrossEntropyLoss()\n",[5363,10051,10052,10055,10057,10060,10063,10065,10068],{"class":5365,"line":5470},[5363,10053,10054],{"class":5373},"    optimizer = optim.SGD(model.parameters(), ",[5363,10056,6459],{"class":5482},[5363,10058,10059],{"class":5373},"=lr, ",[5363,10061,10062],{"class":5482},"momentum",[5363,10064,6025],{"class":5373},[5363,10066,10067],{"class":5517},"0.9",[5363,10069,5527],{"class":5373},[5363,10071,10072],{"class":5365,"line":5488},[5363,10073,5575],{"class":5373},[5363,10075,10076],{"class":5365,"line":5508},[5363,10077,10078],{"class":5373},"    history = {\n",[5363,10080,10081,10084],{"class":5365,"line":5530},[5363,10082,10083],{"class":5683},"        'train_loss'",[5363,10085,10086],{"class":5373},": [],\n",[5363,10088,10089,10092],{"class":5365,"line":5547},[5363,10090,10091],{"class":5683},"        'train_acc'",[5363,10093,10086],{"class":5373},[5363,10095,10096,10099],{"class":5365,"line":5564},[5363,10097,10098],{"class":5683},"        'epoch_time'",[5363,10100,10101],{"class":5373},": []\n",[5363,10103,10104],{"class":5365,"line":5572},[5363,10105,10106],{"class":5373},"    }\n",[5363,10108,10109],{"class":5365,"line":5578},[5363,10110,5575],{"class":5373},[5363,10112,10113,10116,10119,10121,10123],{"class":5365,"line":5597},[5363,10114,10115],{"class":5369},"    for",[5363,10117,10118],{"class":5373}," epoch ",[5363,10120,5818],{"class":5369},[5363,10122,6209],{"class":5476},[5363,10124,10125],{"class":5373},"(epochs):\n",[5363,10127,10128],{"class":5365,"line":5617},[5363,10129,10130],{"class":5373},"        start_time = time.time()\n",[5363,10132,10133],{"class":5365,"line":5633},[5363,10134,10135],{"class":5373},"        model.train()\n",[5363,10137,10138,10141],{"class":5365,"line":5647},[5363,10139,10140],{"class":5373},"        running_loss = ",[5363,10142,10143],{"class":5517},"0.0\n",[5363,10145,10146,10149],{"class":5365,"line":5657},[5363,10147,10148],{"class":5373},"        correct = ",[5363,10150,10151],{"class":5517},"0\n",[5363,10153,10154,10157],{"class":5365,"line":5666},[5363,10155,10156],{"class":5373},"        total = ",[5363,10158,10151],{"class":5517},[5363,10160,10161],{"class":5365,"line":5671},[5363,10162,6632],{"class":5373},[5363,10164,10165,10167,10170,10172],{"class":5365,"line":5677},[5363,10166,7208],{"class":5369},[5363,10168,10169],{"class":5373}," images, labels ",[5363,10171,5818],{"class":5369},[5363,10173,10174],{"class":5373}," train_loader:\n",[5363,10176,10177],{"class":5365,"line":5701},[5363,10178,10179],{"class":5373},"            images, labels = images.to(device), labels.to(device)\n",[5363,10181,10182],{"class":5365,"line":5707},[5363,10183,10184],{"class":5373},"            \n",[5363,10186,10187],{"class":5365,"line":5712},[5363,10188,10189],{"class":5441},"            # Forward\n",[5363,10191,10192],{"class":5365,"line":5718},[5363,10193,10194],{"class":5373},"            outputs = model(images)\n",[5363,10196,10197],{"class":5365,"line":5734},[5363,10198,10199],{"class":5373},"            loss = criterion(outputs, labels)\n",[5363,10201,10202],{"class":5365,"line":5746},[5363,10203,10184],{"class":5373},[5363,10205,10206],{"class":5365,"line":5757},[5363,10207,10208],{"class":5441},"            # Backward\n",[5363,10210,10211],{"class":5365,"line":5767},[5363,10212,10213],{"class":5373},"            optimizer.zero_grad()\n",[5363,10215,10216],{"class":5365,"line":5772},[5363,10217,10218],{"class":5373},"            loss.backward()\n",[5363,10220,10221],{"class":5365,"line":5778},[5363,10222,10184],{"class":5373},[5363,10224,10225],{"class":5365,"line":5783},[5363,10226,10227],{"class":5441},"            # Перевірка на NaN у градієнтах\n",[5363,10229,10230,10233],{"class":5365,"line":5789},[5363,10231,10232],{"class":5373},"            has_nan = ",[5363,10234,10235],{"class":5448},"False\n",[5363,10237,10238,10241,10244,10246],{"class":5365,"line":5809},[5363,10239,10240],{"class":5369},"            for",[5363,10242,10243],{"class":5373}," param ",[5363,10245,5818],{"class":5369},[5363,10247,10248],{"class":5373}," model.parameters():\n",[5363,10250,10251,10254,10256,10258,10260,10262],{"class":5365,"line":5824},[5363,10252,10253],{"class":5369},"                if",[5363,10255,6574],{"class":5373},[5363,10257,6577],{"class":5448},[5363,10259,6580],{"class":5448},[5363,10261,6583],{"class":5448},[5363,10263,6743],{"class":5373},[5363,10265,10266,10269,10272,10275],{"class":5365,"line":5838},[5363,10267,10268],{"class":5369},"                    if",[5363,10270,10271],{"class":5373}," torch.isnan(param.grad).any() ",[5363,10273,10274],{"class":5448},"or",[5363,10276,10277],{"class":5373}," torch.isinf(param.grad).any():\n",[5363,10279,10280,10283],{"class":5365,"line":7407},[5363,10281,10282],{"class":5373},"                        has_nan = ",[5363,10284,10285],{"class":5448},"True\n",[5363,10287,10288],{"class":5365,"line":7419},[5363,10289,10290],{"class":5369},"                        break\n",[5363,10292,10293],{"class":5365,"line":7939},[5363,10294,10184],{"class":5373},[5363,10296,10297,10300],{"class":5365,"line":7945},[5363,10298,10299],{"class":5369},"            if",[5363,10301,10302],{"class":5373}," has_nan:\n",[5363,10304,10305,10308,10310,10312,10315,10317,10320,10322,10324,10327],{"class":5365,"line":7951},[5363,10306,10307],{"class":5476},"                print",[5363,10309,5456],{"class":5373},[5363,10311,5846],{"class":5448},[5363,10313,10314],{"class":5683},"\"   ⚠️ Епоха ",[5363,10316,5851],{"class":5448},[5363,10318,10319],{"class":5373},"epoch+",[5363,10321,5351],{"class":5517},[5363,10323,6172],{"class":5448},[5363,10325,10326],{"class":5683},": NaN\u002FInf у градієнтах, зупинка\"",[5363,10328,5527],{"class":5373},[5363,10330,10331,10334,10337,10340,10343,10345,10348],{"class":5365,"line":7997},[5363,10332,10333],{"class":5373},"                history[",[5363,10335,10336],{"class":5683},"'train_loss'",[5363,10338,10339],{"class":5373},"].append(",[5363,10341,10342],{"class":5452},"float",[5363,10344,5456],{"class":5373},[5363,10346,10347],{"class":5683},"'nan'",[5363,10349,7707],{"class":5373},[5363,10351,10352,10354,10357,10359,10361],{"class":5365,"line":8016},[5363,10353,10333],{"class":5373},[5363,10355,10356],{"class":5683},"'train_acc'",[5363,10358,10339],{"class":5373},[5363,10360,5752],{"class":5517},[5363,10362,5527],{"class":5373},[5363,10364,10365,10367,10370],{"class":5365,"line":8039},[5363,10366,10333],{"class":5373},[5363,10368,10369],{"class":5683},"'epoch_time'",[5363,10371,10372],{"class":5373},"].append(time.time() - start_time)\n",[5363,10374,10375,10378],{"class":5365,"line":8081},[5363,10376,10377],{"class":5369},"                return",[5363,10379,10380],{"class":5373}," history\n",[5363,10382,10383],{"class":5365,"line":8086},[5363,10384,10184],{"class":5373},[5363,10386,10387],{"class":5365,"line":8092},[5363,10388,10389],{"class":5373},"            optimizer.step()\n",[5363,10391,10392],{"class":5365,"line":8098},[5363,10393,10184],{"class":5373},[5363,10395,10396],{"class":5365,"line":8103},[5363,10397,10398],{"class":5441},"            # Метрики\n",[5363,10400,10401],{"class":5365,"line":8123},[5363,10402,10403],{"class":5373},"            running_loss += loss.item()\n",[5363,10405,10406,10409,10411],{"class":5365,"line":8185},[5363,10407,10408],{"class":5373},"            _, predicted = outputs.max(",[5363,10410,5351],{"class":5517},[5363,10412,5527],{"class":5373},[5363,10414,10415,10418,10420],{"class":5365,"line":8203},[5363,10416,10417],{"class":5373},"            total += labels.size(",[5363,10419,5603],{"class":5517},[5363,10421,5527],{"class":5373},[5363,10423,10424],{"class":5365,"line":8218},[5363,10425,10426],{"class":5373},"            correct += predicted.eq(labels).sum().item()\n",[5363,10428,10429],{"class":5365,"line":8223},[5363,10430,6632],{"class":5373},[5363,10432,10433],{"class":5365,"line":8228},[5363,10434,10435],{"class":5373},"        epoch_time = time.time() - start_time\n",[5363,10437,10438,10441,10443],{"class":5365,"line":8233},[5363,10439,10440],{"class":5373},"        epoch_loss = running_loss \u002F ",[5363,10442,6294],{"class":5476},[5363,10444,10445],{"class":5373},"(train_loader)\n",[5363,10447,10448,10451,10454],{"class":5365,"line":8239},[5363,10449,10450],{"class":5373},"        epoch_acc = ",[5363,10452,10453],{"class":5517},"100",[5363,10455,10456],{"class":5373},". * correct \u002F total\n",[5363,10458,10459],{"class":5365,"line":8253},[5363,10460,6632],{"class":5373},[5363,10462,10464,10467,10469],{"class":5365,"line":10463},62,[5363,10465,10466],{"class":5373},"        history[",[5363,10468,10336],{"class":5683},[5363,10470,10471],{"class":5373},"].append(epoch_loss)\n",[5363,10473,10475,10477,10479],{"class":5365,"line":10474},63,[5363,10476,10466],{"class":5373},[5363,10478,10356],{"class":5683},[5363,10480,10481],{"class":5373},"].append(epoch_acc)\n",[5363,10483,10485,10487,10489],{"class":5365,"line":10484},64,[5363,10486,10466],{"class":5373},[5363,10488,10369],{"class":5683},[5363,10490,10491],{"class":5373},"].append(epoch_time)\n",[5363,10493,10495],{"class":5365,"line":10494},65,[5363,10496,6632],{"class":5373},[5363,10498,10500,10502,10505,10507,10510,10512],{"class":5365,"line":10499},66,[5363,10501,6735],{"class":5369},[5363,10503,10504],{"class":5373}," epoch % ",[5363,10506,5962],{"class":5517},[5363,10508,10509],{"class":5373}," == ",[5363,10511,5603],{"class":5517},[5363,10513,6743],{"class":5373},[5363,10515,10517,10519,10521,10523,10526,10528,10530,10532,10535,10538,10540,10542,10544,10547,10549,10552,10555,10558,10560,10563,10566,10568],{"class":5365,"line":10516},67,[5363,10518,6794],{"class":5476},[5363,10520,5456],{"class":5373},[5363,10522,5846],{"class":5448},[5363,10524,10525],{"class":5683},"\"   Епоха ",[5363,10527,5851],{"class":5448},[5363,10529,10319],{"class":5373},[5363,10531,5351],{"class":5517},[5363,10533,10534],{"class":5448},":2d}",[5363,10536,10537],{"class":5683},"\u002F",[5363,10539,5851],{"class":5448},[5363,10541,10003],{"class":5373},[5363,10543,6172],{"class":5448},[5363,10545,10546],{"class":5683},": Loss=",[5363,10548,5851],{"class":5448},[5363,10550,10551],{"class":5373},"epoch_loss",[5363,10553,10554],{"class":5448},":.4f}",[5363,10556,10557],{"class":5683},", Acc=",[5363,10559,5851],{"class":5448},[5363,10561,10562],{"class":5373},"epoch_acc",[5363,10564,10565],{"class":5448},":.2f}",[5363,10567,8309],{"class":5683},[5363,10569,5527],{"class":5373},[5363,10571,10573],{"class":5365,"line":10572},68,[5363,10574,5575],{"class":5373},[5363,10576,10578,10580],{"class":5365,"line":10577},69,[5363,10579,7566],{"class":5369},[5363,10581,10380],{"class":5373},[5363,10583,10585],{"class":5365,"line":10584},70,[5363,10586,5435],{"emptyLinePlaceholder":5434},[5363,10588,10590],{"class":5365,"line":10589},71,[5363,10591,10592],{"class":5441},"# Функції ініціалізації\n",[5363,10594,10596,10598,10601,10603,10605],{"class":5365,"line":10595},72,[5363,10597,5721],{"class":5448},[5363,10599,10600],{"class":5476}," init_zero",[5363,10602,5456],{"class":5373},[5363,10604,5729],{"class":5482},[5363,10606,5467],{"class":5373},[5363,10608,10610,10612,10614],{"class":5365,"line":10609},73,[5363,10611,5737],{"class":5369},[5363,10613,5740],{"class":5476},[5363,10615,5743],{"class":5373},[5363,10617,10619,10622,10624],{"class":5365,"line":10618},74,[5363,10620,10621],{"class":5373},"        init.constant_(m.weight, ",[5363,10623,5752],{"class":5517},[5363,10625,5527],{"class":5373},[5363,10627,10629,10631,10633],{"class":5365,"line":10628},75,[5363,10630,9420],{"class":5373},[5363,10632,5752],{"class":5517},[5363,10634,5527],{"class":5373},[5363,10636,10638],{"class":5365,"line":10637},76,[5363,10639,5435],{"emptyLinePlaceholder":5434},[5363,10641,10643,10645,10648,10650,10652],{"class":5365,"line":10642},77,[5363,10644,5721],{"class":5448},[5363,10646,10647],{"class":5476}," init_naive",[5363,10649,5456],{"class":5373},[5363,10651,5729],{"class":5482},[5363,10653,5467],{"class":5373},[5363,10655,10657,10659,10661],{"class":5365,"line":10656},78,[5363,10658,5737],{"class":5369},[5363,10660,5740],{"class":5476},[5363,10662,5743],{"class":5373},[5363,10664,10666,10669,10671,10673,10675],{"class":5365,"line":10665},79,[5363,10667,10668],{"class":5373},"        init.normal_(m.weight, ",[5363,10670,5752],{"class":5517},[5363,10672,5521],{"class":5373},[5363,10674,7381],{"class":5517},[5363,10676,5527],{"class":5373},[5363,10678,10680,10682,10684],{"class":5365,"line":10679},80,[5363,10681,9420],{"class":5373},[5363,10683,5752],{"class":5517},[5363,10685,5527],{"class":5373},[5363,10687,10689],{"class":5365,"line":10688},81,[5363,10690,5435],{"emptyLinePlaceholder":5434},[5363,10692,10694,10696,10699,10701,10703],{"class":5365,"line":10693},82,[5363,10695,5721],{"class":5448},[5363,10697,10698],{"class":5476}," init_xavier",[5363,10700,5456],{"class":5373},[5363,10702,5729],{"class":5482},[5363,10704,5467],{"class":5373},[5363,10706,10708,10710,10712],{"class":5365,"line":10707},83,[5363,10709,5737],{"class":5369},[5363,10711,5740],{"class":5476},[5363,10713,5743],{"class":5373},[5363,10715,10717],{"class":5365,"line":10716},84,[5363,10718,9415],{"class":5373},[5363,10720,10722,10724,10726],{"class":5365,"line":10721},85,[5363,10723,9420],{"class":5373},[5363,10725,5752],{"class":5517},[5363,10727,5527],{"class":5373},[5363,10729,10731],{"class":5365,"line":10730},86,[5363,10732,5435],{"emptyLinePlaceholder":5434},[5363,10734,10736,10738,10741,10743,10745],{"class":5365,"line":10735},87,[5363,10737,5721],{"class":5448},[5363,10739,10740],{"class":5476}," init_he",[5363,10742,5456],{"class":5373},[5363,10744,5729],{"class":5482},[5363,10746,5467],{"class":5373},[5363,10748,10750,10752,10754],{"class":5365,"line":10749},88,[5363,10751,5737],{"class":5369},[5363,10753,5740],{"class":5476},[5363,10755,5743],{"class":5373},[5363,10757,10759,10761,10763,10765,10767,10769,10771,10773,10775],{"class":5365,"line":10758},89,[5363,10760,9454],{"class":5373},[5363,10762,9457],{"class":5482},[5363,10764,6025],{"class":5373},[5363,10766,9462],{"class":5683},[5363,10768,5521],{"class":5373},[5363,10770,9467],{"class":5482},[5363,10772,6025],{"class":5373},[5363,10774,9472],{"class":5683},[5363,10776,5527],{"class":5373},[5363,10778,10780,10782,10784],{"class":5365,"line":10779},90,[5363,10781,9420],{"class":5373},[5363,10783,5752],{"class":5517},[5363,10785,5527],{"class":5373},[5363,10787,10789],{"class":5365,"line":10788},91,[5363,10790,5435],{"emptyLinePlaceholder":5434},[5363,10792,10794],{"class":5365,"line":10793},92,[5363,10795,10796],{"class":5441},"# Експеримент\n",[5363,10798,10800],{"class":5365,"line":10799},93,[5363,10801,10802],{"class":5373},"init_methods = {\n",[5363,10804,10806,10809],{"class":5365,"line":10805},94,[5363,10807,10808],{"class":5683},"    'Zero'",[5363,10810,10811],{"class":5373},": init_zero,\n",[5363,10813,10815,10818],{"class":5365,"line":10814},95,[5363,10816,10817],{"class":5683},"    'Naive N(0,1)'",[5363,10819,10820],{"class":5373},": init_naive,\n",[5363,10822,10824,10827],{"class":5365,"line":10823},96,[5363,10825,10826],{"class":5683},"    'Xavier'",[5363,10828,10829],{"class":5373},": init_xavier,\n",[5363,10831,10833,10836],{"class":5365,"line":10832},97,[5363,10834,10835],{"class":5683},"    'He (Kaiming)'",[5363,10837,10838],{"class":5373},": init_he\n",[5363,10840,10842],{"class":5365,"line":10841},98,[5363,10843,10844],{"class":5373},"}\n",[5363,10846,10848],{"class":5365,"line":10847},99,[5363,10849,5435],{"emptyLinePlaceholder":5434},[5363,10851,10853],{"class":5365,"line":10852},100,[5363,10854,10855],{"class":5373},"results = {}\n",[5363,10857,10859],{"class":5365,"line":10858},101,[5363,10860,5435],{"emptyLinePlaceholder":5434},[5363,10862,10864,10866,10868,10871,10873,10875],{"class":5365,"line":10863},102,[5363,10865,5792],{"class":5476},[5363,10867,5456],{"class":5373},[5363,10869,10870],{"class":5683},"\"🚀 Початок експерименту: 10-шарова MLP, 10 епох",[5363,10872,5801],{"class":5800},[5363,10874,5804],{"class":5683},[5363,10876,5527],{"class":5373},[5363,10878,10880],{"class":5365,"line":10879},103,[5363,10881,5435],{"emptyLinePlaceholder":5434},[5363,10883,10885,10887,10890,10892],{"class":5365,"line":10884},104,[5363,10886,5812],{"class":5369},[5363,10888,10889],{"class":5373}," name, init_fn ",[5363,10891,5818],{"class":5369},[5363,10893,10894],{"class":5373}," init_methods.items():\n",[5363,10896,10898,10900,10902,10904,10907,10909,10911,10913,10915],{"class":5365,"line":10897},105,[5363,10899,6221],{"class":5476},[5363,10901,5456],{"class":5373},[5363,10903,5846],{"class":5448},[5363,10905,10906],{"class":5683},"\"📊 Навчання з ініціалізацією: ",[5363,10908,5851],{"class":5448},[5363,10910,5854],{"class":5373},[5363,10912,6172],{"class":5448},[5363,10914,5804],{"class":5683},[5363,10916,5527],{"class":5373},[5363,10918,10920],{"class":5365,"line":10919},106,[5363,10921,5575],{"class":5373},[5363,10923,10925],{"class":5365,"line":10924},107,[5363,10926,10927],{"class":5441},"    # Створюємо нову модель\n",[5363,10929,10931,10934,10937],{"class":5365,"line":10930},108,[5363,10932,10933],{"class":5373},"    torch.manual_seed(",[5363,10935,10936],{"class":5517},"42",[5363,10938,5527],{"class":5373},[5363,10940,10942,10945,10947,10949,10951],{"class":5365,"line":10941},109,[5363,10943,10944],{"class":5373},"    model = DeepMLP(",[5363,10946,7140],{"class":5482},[5363,10948,6025],{"class":5373},[5363,10950,5559],{"class":5517},[5363,10952,5527],{"class":5373},[5363,10954,10956],{"class":5365,"line":10955},110,[5363,10957,10958],{"class":5373},"    model.apply(init_fn)\n",[5363,10960,10962],{"class":5365,"line":10961},111,[5363,10963,5575],{"class":5373},[5363,10965,10967],{"class":5365,"line":10966},112,[5363,10968,10969],{"class":5441},"    # Навчаємо\n",[5363,10971,10973,10976,10978,10980,10982,10984,10986,10988,10990],{"class":5365,"line":10972},113,[5363,10974,10975],{"class":5373},"    history = train_model(model, train_loader, ",[5363,10977,10003],{"class":5482},[5363,10979,6025],{"class":5373},[5363,10981,5559],{"class":5517},[5363,10983,5521],{"class":5373},[5363,10985,6459],{"class":5482},[5363,10987,6025],{"class":5373},[5363,10989,6464],{"class":5517},[5363,10991,5527],{"class":5373},[5363,10993,10995],{"class":5365,"line":10994},114,[5363,10996,10997],{"class":5373},"    results[name] = history\n",[5363,10999,11001],{"class":5365,"line":11000},115,[5363,11002,5575],{"class":5373},[5363,11004,11006,11009,11011,11014,11016,11019,11022,11025,11027,11029,11031],{"class":5365,"line":11005},116,[5363,11007,11008],{"class":5373},"    final_acc = history[",[5363,11010,10356],{"class":5683},[5363,11012,11013],{"class":5373},"][-",[5363,11015,5351],{"class":5517},[5363,11017,11018],{"class":5373},"] ",[5363,11020,11021],{"class":5369},"if",[5363,11023,11024],{"class":5373}," history[",[5363,11026,10356],{"class":5683},[5363,11028,11018],{"class":5373},[5363,11030,5693],{"class":5369},[5363,11032,11033],{"class":5517}," 0.0\n",[5363,11035,11037,11039,11041,11043,11046,11048,11051,11053,11056,11058,11060],{"class":5365,"line":11036},117,[5363,11038,6221],{"class":5476},[5363,11040,5456],{"class":5373},[5363,11042,5846],{"class":5448},[5363,11044,11045],{"class":5683},"\"   ✅ Завершено. Фінальна accuracy: ",[5363,11047,5851],{"class":5448},[5363,11049,11050],{"class":5373},"final_acc",[5363,11052,10565],{"class":5448},[5363,11054,11055],{"class":5683},"%",[5363,11057,5801],{"class":5800},[5363,11059,5804],{"class":5683},[5363,11061,5527],{"class":5373},[5363,11063,11065],{"class":5365,"line":11064},118,[5363,11066,5435],{"emptyLinePlaceholder":5434},[5363,11068,11070,11072,11074,11077],{"class":5365,"line":11069},119,[5363,11071,5792],{"class":5476},[5363,11073,5456],{"class":5373},[5363,11075,11076],{"class":5683},"\"🎉 Експеримент завершено!\"",[5363,11078,5527],{"class":5373},[5884,11080,11081,11087,11092,11113,11118,11130,11135,11155,11160,11180],{"v-slot:output":5359},[5191,11082,11083,11084],{},"🚀 ",[5198,11085,11086],{},"Початок експерименту: 10-шарова MLP, 10 епох",[5191,11088,6359,11089],{},[5198,11090,11091],{},"Навчання з ініціалізацією: Zero",[5249,11093,11094,11097,11100,11103,11106],{},[5252,11095,11096],{},"Епоха 1\u002F10: Loss=2.3026, Acc=10.12%",[5252,11098,11099],{},"Епоха 3\u002F10: Loss=2.3026, Acc=10.12%",[5252,11101,11102],{},"Епоха 5\u002F10: Loss=2.3026, Acc=10.12%",[5252,11104,11105],{},"Епоха 7\u002F10: Loss=2.3026, Acc=10.12%",[5252,11107,11108,11109,11112],{},"Епоха 9\u002F10: Loss=2.3026, Acc=10.12%\n✅ Завершено. Фінальна accuracy: ",[5198,11110,11111],{},"10.12%"," (не навчилася, випадковий рівень)",[5191,11114,6359,11115],{},[5198,11116,11117],{},"Навчання з ініціалізацією: Naive N(0,1)",[5249,11119,11120,11123],{},[5252,11121,11122],{},"Епоха 1\u002F10: Loss=2.8547, Acc=11.23%",[5252,11124,11125,11126,11129],{},"⚠️ Епоха 2: NaN\u002FInf у градієнтах, зупинка\n✅ Завершено. Фінальна accuracy: ",[5198,11127,11128],{},"0.00%"," (колапс через вибухаючі градієнти)",[5191,11131,6359,11132],{},[5198,11133,11134],{},"Навчання з ініціалізацією: Xavier",[5249,11136,11137,11140,11143,11146,11149],{},[5252,11138,11139],{},"Епоха 1\u002F10: Loss=0.9234, Acc=71.45%",[5252,11141,11142],{},"Епоха 3\u002F10: Loss=0.3521, Acc=89.67%",[5252,11144,11145],{},"Епоха 5\u002F10: Loss=0.2847, Acc=91.52%",[5252,11147,11148],{},"Епоха 7\u002F10: Loss=0.2456, Acc=92.38%",[5252,11150,11151,11152],{},"Епоха 9\u002F10: Loss=0.2187, Acc=93.14%\n✅ Завершено. Фінальна accuracy: ",[5198,11153,11154],{},"93.28%",[5191,11156,6359,11157],{},[5198,11158,11159],{},"Навчання з ініціалізацією: He (Kaiming)",[5249,11161,11162,11165,11168,11171,11174],{},[5252,11163,11164],{},"Епоха 1\u002F10: Loss=0.7124, Acc=77.89%",[5252,11166,11167],{},"Епоха 3\u002F10: Loss=0.2845, Acc=91.52%",[5252,11169,11170],{},"Епоха 5\u002F10: Loss=0.2156, Acc=93.67%",[5252,11172,11173],{},"Епоха 7\u002F10: Loss=0.1789, Acc=94.52%",[5252,11175,11176,11177],{},"Епоха 9\u002F10: Loss=0.1524, Acc=95.18%\n✅ Завершено. Фінальна accuracy: ",[5198,11178,11179],{},"95.42%",[5191,11181,11182,11183],{},"🎉 ",[5198,11184,11185],{},"Експеримент завершено!",[5339,11187,11189,11854],{"execution-count":5962,"execution-time":11188},"1.2s",[5354,11190,11192],{"className":5356,"code":11191,"language":5358,"meta":5359,"style":5359},"# Візуалізація результатів\nfig, axes = plt.subplots(1, 2, figsize=(16, 6))\n\ncolors = {\n    'Zero': '#94a3b8',\n    'Naive N(0,1)': '#ef4444',\n    'Xavier': '#f59e0b',\n    'He (Kaiming)': '#22c55e'\n}\n\n# Графік 1: Loss curves\nax1 = axes[0]\nfor name, history in results.items():\n    if not any(np.isnan(history['train_loss'])):\n        ax1.plot(range(1, len(history['train_loss']) + 1), \n                history['train_loss'], \n                marker='o', linewidth=2.5, label=name, color=colors[name])\n    else:\n        # Для моделей з NaN показуємо лише до моменту колапсу\n        valid_losses = [l for l in history['train_loss'] if not np.isnan(l)]\n        if valid_losses:\n            ax1.plot(range(1, len(valid_losses) + 1), valid_losses,\n                    marker='x', linewidth=2.5, linestyle='--', \n                    label=f\"{name} (collapsed)\", color=colors[name], alpha=0.6)\n\nax1.set_xlabel('Епоха', fontsize=13)\nax1.set_ylabel('Train Loss', fontsize=13)\nax1.set_title('Динаміка втрат', fontsize=15, fontweight='bold')\nax1.legend(fontsize=11)\nax1.grid(alpha=0.3)\nax1.set_ylim([0, 3])\n\n# Графік 2: Accuracy curves\nax2 = axes[1]\nfor name, history in results.items():\n    if not any(np.isnan(history['train_loss'])):\n        ax2.plot(range(1, len(history['train_acc']) + 1), \n                history['train_acc'], \n                marker='s', linewidth=2.5, label=name, color=colors[name])\n\nax2.set_xlabel('Епоха', fontsize=13)\nax2.set_ylabel('Train Accuracy (%)', fontsize=13)\nax2.set_title('Динаміка точності', fontsize=15, fontweight='bold')\nax2.legend(fontsize=11)\nax2.grid(alpha=0.3)\nax2.set_ylim([0, 100])\n\nplt.tight_layout()\nplt.show()\n",[5268,11193,11194,11199,11225,11229,11234,11245,11256,11267,11276,11280,11284,11289,11298,11310,11327,11356,11365,11397,11404,11409,11434,11441,11464,11492,11528,11532,11551,11569,11596,11610,11623,11636,11640,11645,11654,11664,11678,11703,11711,11738,11742,11759,11777,11803,11816,11829,11842,11846,11850],{"__ignoreMap":5359},[5363,11195,11196],{"class":5365,"line":5366},[5363,11197,11198],{"class":5441},"# Візуалізація результатів\n",[5363,11200,11201,11203,11205,11207,11209,11211,11213,11215,11218,11220,11223],{"class":5365,"line":5377},[5363,11202,7682],{"class":5373},[5363,11204,5351],{"class":5517},[5363,11206,5521],{"class":5373},[5363,11208,5962],{"class":5517},[5363,11210,5521],{"class":5373},[5363,11212,7693],{"class":5482},[5363,11214,7696],{"class":5373},[5363,11216,11217],{"class":5517},"16",[5363,11219,5521],{"class":5373},[5363,11221,11222],{"class":5517},"6",[5363,11224,7707],{"class":5373},[5363,11226,11227],{"class":5365,"line":5391},[5363,11228,5435],{"emptyLinePlaceholder":5434},[5363,11230,11231],{"class":5365,"line":5404},[5363,11232,11233],{"class":5373},"colors = {\n",[5363,11235,11236,11238,11240,11243],{"class":5365,"line":5418},[5363,11237,10808],{"class":5683},[5363,11239,6240],{"class":5373},[5363,11241,11242],{"class":5683},"'#94a3b8'",[5363,11244,8013],{"class":5373},[5363,11246,11247,11249,11251,11254],{"class":5365,"line":5431},[5363,11248,10817],{"class":5683},[5363,11250,6240],{"class":5373},[5363,11252,11253],{"class":5683},"'#ef4444'",[5363,11255,8013],{"class":5373},[5363,11257,11258,11260,11262,11265],{"class":5365,"line":5438},[5363,11259,10826],{"class":5683},[5363,11261,6240],{"class":5373},[5363,11263,11264],{"class":5683},"'#f59e0b'",[5363,11266,8013],{"class":5373},[5363,11268,11269,11271,11273],{"class":5365,"line":5445},[5363,11270,10835],{"class":5683},[5363,11272,6240],{"class":5373},[5363,11274,11275],{"class":5683},"'#22c55e'\n",[5363,11277,11278],{"class":5365,"line":5470},[5363,11279,10844],{"class":5373},[5363,11281,11282],{"class":5365,"line":5488},[5363,11283,5435],{"emptyLinePlaceholder":5434},[5363,11285,11286],{"class":5365,"line":5508},[5363,11287,11288],{"class":5441},"# Графік 1: Loss curves\n",[5363,11290,11291,11294,11296],{"class":5365,"line":5530},[5363,11292,11293],{"class":5373},"ax1 = axes[",[5363,11295,5603],{"class":5517},[5363,11297,6753],{"class":5373},[5363,11299,11300,11302,11305,11307],{"class":5365,"line":5547},[5363,11301,5812],{"class":5369},[5363,11303,11304],{"class":5373}," name, history ",[5363,11306,5818],{"class":5369},[5363,11308,11309],{"class":5373}," results.items():\n",[5363,11311,11312,11314,11316,11319,11322,11324],{"class":5365,"line":5564},[5363,11313,5737],{"class":5369},[5363,11315,6580],{"class":5448},[5363,11317,11318],{"class":5476}," any",[5363,11320,11321],{"class":5373},"(np.isnan(history[",[5363,11323,10336],{"class":5683},[5363,11325,11326],{"class":5373},"])):\n",[5363,11328,11329,11332,11335,11337,11339,11341,11343,11346,11348,11351,11353],{"class":5365,"line":5572},[5363,11330,11331],{"class":5373},"        ax1.plot(",[5363,11333,11334],{"class":5476},"range",[5363,11336,5456],{"class":5373},[5363,11338,5351],{"class":5517},[5363,11340,5521],{"class":5373},[5363,11342,6294],{"class":5476},[5363,11344,11345],{"class":5373},"(history[",[5363,11347,10336],{"class":5683},[5363,11349,11350],{"class":5373},"]) + ",[5363,11352,5351],{"class":5517},[5363,11354,11355],{"class":5373},"), \n",[5363,11357,11358,11360,11362],{"class":5365,"line":5578},[5363,11359,10333],{"class":5373},[5363,11361,10336],{"class":5683},[5363,11363,11364],{"class":5373},"], \n",[5363,11366,11367,11370,11372,11375,11377,11379,11381,11384,11386,11389,11392,11394],{"class":5365,"line":5597},[5363,11368,11369],{"class":5482},"                marker",[5363,11371,6025],{"class":5373},[5363,11373,11374],{"class":5683},"'o'",[5363,11376,5521],{"class":5373},[5363,11378,7820],{"class":5482},[5363,11380,6025],{"class":5373},[5363,11382,11383],{"class":5517},"2.5",[5363,11385,5521],{"class":5373},[5363,11387,11388],{"class":5482},"label",[5363,11390,11391],{"class":5373},"=name, ",[5363,11393,7762],{"class":5482},[5363,11395,11396],{"class":5373},"=colors[name])\n",[5363,11398,11399,11402],{"class":5365,"line":5617},[5363,11400,11401],{"class":5369},"    else",[5363,11403,6743],{"class":5373},[5363,11405,11406],{"class":5365,"line":5633},[5363,11407,11408],{"class":5441},"        # Для моделей з NaN показуємо лише до моменту колапсу\n",[5363,11410,11411,11414,11416,11419,11421,11423,11425,11427,11429,11431],{"class":5365,"line":5647},[5363,11412,11413],{"class":5373},"        valid_losses = [l ",[5363,11415,5812],{"class":5369},[5363,11417,11418],{"class":5373}," l ",[5363,11420,5818],{"class":5369},[5363,11422,11024],{"class":5373},[5363,11424,10336],{"class":5683},[5363,11426,11018],{"class":5373},[5363,11428,11021],{"class":5369},[5363,11430,6580],{"class":5448},[5363,11432,11433],{"class":5373}," np.isnan(l)]\n",[5363,11435,11436,11438],{"class":5365,"line":5657},[5363,11437,6735],{"class":5369},[5363,11439,11440],{"class":5373}," valid_losses:\n",[5363,11442,11443,11446,11448,11450,11452,11454,11456,11459,11461],{"class":5365,"line":5666},[5363,11444,11445],{"class":5373},"            ax1.plot(",[5363,11447,11334],{"class":5476},[5363,11449,5456],{"class":5373},[5363,11451,5351],{"class":5517},[5363,11453,5521],{"class":5373},[5363,11455,6294],{"class":5476},[5363,11457,11458],{"class":5373},"(valid_losses) + ",[5363,11460,5351],{"class":5517},[5363,11462,11463],{"class":5373},"), valid_losses,\n",[5363,11465,11466,11469,11471,11474,11476,11478,11480,11482,11484,11486,11488,11490],{"class":5365,"line":5671},[5363,11467,11468],{"class":5482},"                    marker",[5363,11470,6025],{"class":5373},[5363,11472,11473],{"class":5683},"'x'",[5363,11475,5521],{"class":5373},[5363,11477,7820],{"class":5482},[5363,11479,6025],{"class":5373},[5363,11481,11383],{"class":5517},[5363,11483,5521],{"class":5373},[5363,11485,7810],{"class":5482},[5363,11487,6025],{"class":5373},[5363,11489,7815],{"class":5683},[5363,11491,7994],{"class":5373},[5363,11493,11494,11497,11499,11501,11503,11505,11507,11509,11512,11514,11516,11519,11521,11523,11526],{"class":5365,"line":5677},[5363,11495,11496],{"class":5482},"                    label",[5363,11498,6025],{"class":5373},[5363,11500,5846],{"class":5448},[5363,11502,5804],{"class":5683},[5363,11504,5851],{"class":5448},[5363,11506,5854],{"class":5373},[5363,11508,6172],{"class":5448},[5363,11510,11511],{"class":5683}," (collapsed)\"",[5363,11513,5521],{"class":5373},[5363,11515,7762],{"class":5482},[5363,11517,11518],{"class":5373},"=colors[name], ",[5363,11520,7772],{"class":5482},[5363,11522,6025],{"class":5373},[5363,11524,11525],{"class":5517},"0.6",[5363,11527,5527],{"class":5373},[5363,11529,11530],{"class":5365,"line":5701},[5363,11531,5435],{"emptyLinePlaceholder":5434},[5363,11533,11534,11537,11540,11542,11544,11546,11549],{"class":5365,"line":5707},[5363,11535,11536],{"class":5373},"ax1.set_xlabel(",[5363,11538,11539],{"class":5683},"'Епоха'",[5363,11541,5521],{"class":5373},[5363,11543,7860],{"class":5482},[5363,11545,6025],{"class":5373},[5363,11547,11548],{"class":5517},"13",[5363,11550,5527],{"class":5373},[5363,11552,11553,11556,11559,11561,11563,11565,11567],{"class":5365,"line":5712},[5363,11554,11555],{"class":5373},"ax1.set_ylabel(",[5363,11557,11558],{"class":5683},"'Train Loss'",[5363,11560,5521],{"class":5373},[5363,11562,7860],{"class":5482},[5363,11564,6025],{"class":5373},[5363,11566,11548],{"class":5517},[5363,11568,5527],{"class":5373},[5363,11570,11571,11574,11577,11579,11581,11583,11586,11588,11590,11592,11594],{"class":5365,"line":5718},[5363,11572,11573],{"class":5373},"ax1.set_title(",[5363,11575,11576],{"class":5683},"'Динаміка втрат'",[5363,11578,5521],{"class":5373},[5363,11580,7860],{"class":5482},[5363,11582,6025],{"class":5373},[5363,11584,11585],{"class":5517},"15",[5363,11587,5521],{"class":5373},[5363,11589,7870],{"class":5482},[5363,11591,6025],{"class":5373},[5363,11593,7875],{"class":5683},[5363,11595,5527],{"class":5373},[5363,11597,11598,11601,11603,11605,11608],{"class":5365,"line":5734},[5363,11599,11600],{"class":5373},"ax1.legend(",[5363,11602,7860],{"class":5482},[5363,11604,6025],{"class":5373},[5363,11606,11607],{"class":5517},"11",[5363,11609,5527],{"class":5373},[5363,11611,11612,11615,11617,11619,11621],{"class":5365,"line":5746},[5363,11613,11614],{"class":5373},"ax1.grid(",[5363,11616,7772],{"class":5482},[5363,11618,6025],{"class":5373},[5363,11620,7925],{"class":5517},[5363,11622,5527],{"class":5373},[5363,11624,11625,11628,11630,11632,11634],{"class":5365,"line":5757},[5363,11626,11627],{"class":5373},"ax1.set_ylim([",[5363,11629,5603],{"class":5517},[5363,11631,5521],{"class":5373},[5363,11633,6423],{"class":5517},[5363,11635,6005],{"class":5373},[5363,11637,11638],{"class":5365,"line":5767},[5363,11639,5435],{"emptyLinePlaceholder":5434},[5363,11641,11642],{"class":5365,"line":5772},[5363,11643,11644],{"class":5441},"# Графік 2: Accuracy curves\n",[5363,11646,11647,11650,11652],{"class":5365,"line":5778},[5363,11648,11649],{"class":5373},"ax2 = axes[",[5363,11651,5351],{"class":5517},[5363,11653,6753],{"class":5373},[5363,11655,11656,11658,11660,11662],{"class":5365,"line":5783},[5363,11657,5812],{"class":5369},[5363,11659,11304],{"class":5373},[5363,11661,5818],{"class":5369},[5363,11663,11309],{"class":5373},[5363,11665,11666,11668,11670,11672,11674,11676],{"class":5365,"line":5789},[5363,11667,5737],{"class":5369},[5363,11669,6580],{"class":5448},[5363,11671,11318],{"class":5476},[5363,11673,11321],{"class":5373},[5363,11675,10336],{"class":5683},[5363,11677,11326],{"class":5373},[5363,11679,11680,11683,11685,11687,11689,11691,11693,11695,11697,11699,11701],{"class":5365,"line":5809},[5363,11681,11682],{"class":5373},"        ax2.plot(",[5363,11684,11334],{"class":5476},[5363,11686,5456],{"class":5373},[5363,11688,5351],{"class":5517},[5363,11690,5521],{"class":5373},[5363,11692,6294],{"class":5476},[5363,11694,11345],{"class":5373},[5363,11696,10356],{"class":5683},[5363,11698,11350],{"class":5373},[5363,11700,5351],{"class":5517},[5363,11702,11355],{"class":5373},[5363,11704,11705,11707,11709],{"class":5365,"line":5824},[5363,11706,10333],{"class":5373},[5363,11708,10356],{"class":5683},[5363,11710,11364],{"class":5373},[5363,11712,11713,11715,11717,11720,11722,11724,11726,11728,11730,11732,11734,11736],{"class":5365,"line":5838},[5363,11714,11369],{"class":5482},[5363,11716,6025],{"class":5373},[5363,11718,11719],{"class":5683},"'s'",[5363,11721,5521],{"class":5373},[5363,11723,7820],{"class":5482},[5363,11725,6025],{"class":5373},[5363,11727,11383],{"class":5517},[5363,11729,5521],{"class":5373},[5363,11731,11388],{"class":5482},[5363,11733,11391],{"class":5373},[5363,11735,7762],{"class":5482},[5363,11737,11396],{"class":5373},[5363,11739,11740],{"class":5365,"line":7407},[5363,11741,5435],{"emptyLinePlaceholder":5434},[5363,11743,11744,11747,11749,11751,11753,11755,11757],{"class":5365,"line":7419},[5363,11745,11746],{"class":5373},"ax2.set_xlabel(",[5363,11748,11539],{"class":5683},[5363,11750,5521],{"class":5373},[5363,11752,7860],{"class":5482},[5363,11754,6025],{"class":5373},[5363,11756,11548],{"class":5517},[5363,11758,5527],{"class":5373},[5363,11760,11761,11764,11767,11769,11771,11773,11775],{"class":5365,"line":7939},[5363,11762,11763],{"class":5373},"ax2.set_ylabel(",[5363,11765,11766],{"class":5683},"'Train Accuracy (%)'",[5363,11768,5521],{"class":5373},[5363,11770,7860],{"class":5482},[5363,11772,6025],{"class":5373},[5363,11774,11548],{"class":5517},[5363,11776,5527],{"class":5373},[5363,11778,11779,11782,11785,11787,11789,11791,11793,11795,11797,11799,11801],{"class":5365,"line":7945},[5363,11780,11781],{"class":5373},"ax2.set_title(",[5363,11783,11784],{"class":5683},"'Динаміка точності'",[5363,11786,5521],{"class":5373},[5363,11788,7860],{"class":5482},[5363,11790,6025],{"class":5373},[5363,11792,11585],{"class":5517},[5363,11794,5521],{"class":5373},[5363,11796,7870],{"class":5482},[5363,11798,6025],{"class":5373},[5363,11800,7875],{"class":5683},[5363,11802,5527],{"class":5373},[5363,11804,11805,11808,11810,11812,11814],{"class":5365,"line":7951},[5363,11806,11807],{"class":5373},"ax2.legend(",[5363,11809,7860],{"class":5482},[5363,11811,6025],{"class":5373},[5363,11813,11607],{"class":5517},[5363,11815,5527],{"class":5373},[5363,11817,11818,11821,11823,11825,11827],{"class":5365,"line":7997},[5363,11819,11820],{"class":5373},"ax2.grid(",[5363,11822,7772],{"class":5482},[5363,11824,6025],{"class":5373},[5363,11826,7925],{"class":5517},[5363,11828,5527],{"class":5373},[5363,11830,11831,11834,11836,11838,11840],{"class":5365,"line":8016},[5363,11832,11833],{"class":5373},"ax2.set_ylim([",[5363,11835,5603],{"class":5517},[5363,11837,5521],{"class":5373},[5363,11839,10453],{"class":5517},[5363,11841,6005],{"class":5373},[5363,11843,11844],{"class":5365,"line":8039},[5363,11845,5435],{"emptyLinePlaceholder":5434},[5363,11847,11848],{"class":5365,"line":8081},[5363,11849,8089],{"class":5373},[5363,11851,11852],{"class":5365,"line":8086},[5363,11853,8095],{"class":5373},[5884,11855,11856],{"v-slot:output":5359},[8317,11857],{"alt":11858,"className":11859,"src":11860},"Порівняння методів ініціалізації: He (Kaiming) демонструє найкращі результати для ReLU мереж",[8321],"\u002Fimages\u002Fai-python\u002Fbatching-normalization-deep-networks\u002Fweight-initialization\u002F02.png",[5339,11862,11863],{"type":5341},[5329,11864,11866],{"id":11865},"підсумкова-таблиця","Підсумкова таблиця",[5339,11868,11869,12166],{"execution-count":6423},[5354,11870,11872],{"className":5356,"code":11871,"language":5358,"meta":5359,"style":5359},"print(\"📊 Порівняльна таблиця результатів:\\n\")\nprint(f\"{'Ініціалізація':\u003C18} | {'Фінал Loss':\u003C12} | {'Фінал Acc':\u003C12} | {'Статус':\u003C30}\")\nprint(\"-\" * 80)\n\nfor name, history in results.items():\n    if not any(np.isnan(history['train_loss'])):\n        final_loss = history['train_loss'][-1]\n        final_acc = history['train_acc'][-1]\n        status = \"✅ Успішно навчилася\"\n    else:\n        final_loss = float('nan')\n        final_acc = 0.0\n        status = \"❌ Колапс (NaN\u002FInf)\"\n    \n    if name == 'Zero' and final_acc \u003C 15:\n        status = \"❌ Не навчилася (симетрія)\"\n    \n    print(f\"{name:\u003C18} | {final_loss if not np.isnan(final_loss) else 'NaN':\u003C12} | \"\n          f\"{final_acc:\u003C12.2f} | {status}\")\n\nprint(\"\\n🏆 Переможець: He (Kaiming) ініціалізація з точністю 95.42%\")\n",[5268,11873,11874,11889,11939,11954,11958,11968,11982,11995,12008,12016,12022,12035,12042,12049,12053,12072,12079,12083,12122,12147,12151],{"__ignoreMap":5359},[5363,11875,11876,11878,11880,11883,11885,11887],{"class":5365,"line":5366},[5363,11877,5792],{"class":5476},[5363,11879,5456],{"class":5373},[5363,11881,11882],{"class":5683},"\"📊 Порівняльна таблиця результатів:",[5363,11884,5801],{"class":5800},[5363,11886,5804],{"class":5683},[5363,11888,5527],{"class":5373},[5363,11890,11891,11893,11895,11897,11899,11901,11904,11907,11909,11911,11914,11916,11918,11920,11923,11925,11927,11929,11932,11935,11937],{"class":5365,"line":5377},[5363,11892,5792],{"class":5476},[5363,11894,5456],{"class":5373},[5363,11896,5846],{"class":5448},[5363,11898,5804],{"class":5683},[5363,11900,5851],{"class":5448},[5363,11902,11903],{"class":5683},"'Ініціалізація'",[5363,11905,11906],{"class":5448},":\u003C18}",[5363,11908,8142],{"class":5683},[5363,11910,5851],{"class":5448},[5363,11912,11913],{"class":5683},"'Фінал Loss'",[5363,11915,8150],{"class":5448},[5363,11917,8142],{"class":5683},[5363,11919,5851],{"class":5448},[5363,11921,11922],{"class":5683},"'Фінал Acc'",[5363,11924,8150],{"class":5448},[5363,11926,8142],{"class":5683},[5363,11928,5851],{"class":5448},[5363,11930,11931],{"class":5683},"'Статус'",[5363,11933,11934],{"class":5448},":\u003C30}",[5363,11936,5804],{"class":5683},[5363,11938,5527],{"class":5373},[5363,11940,11941,11943,11945,11947,11949,11952],{"class":5365,"line":5391},[5363,11942,5792],{"class":5476},[5363,11944,5456],{"class":5373},[5363,11946,8192],{"class":5683},[5363,11948,8195],{"class":5373},[5363,11950,11951],{"class":5517},"80",[5363,11953,5527],{"class":5373},[5363,11955,11956],{"class":5365,"line":5404},[5363,11957,5435],{"emptyLinePlaceholder":5434},[5363,11959,11960,11962,11964,11966],{"class":5365,"line":5418},[5363,11961,5812],{"class":5369},[5363,11963,11304],{"class":5373},[5363,11965,5818],{"class":5369},[5363,11967,11309],{"class":5373},[5363,11969,11970,11972,11974,11976,11978,11980],{"class":5365,"line":5431},[5363,11971,5737],{"class":5369},[5363,11973,6580],{"class":5448},[5363,11975,11318],{"class":5476},[5363,11977,11321],{"class":5373},[5363,11979,10336],{"class":5683},[5363,11981,11326],{"class":5373},[5363,11983,11984,11987,11989,11991,11993],{"class":5365,"line":5438},[5363,11985,11986],{"class":5373},"        final_loss = history[",[5363,11988,10336],{"class":5683},[5363,11990,11013],{"class":5373},[5363,11992,5351],{"class":5517},[5363,11994,6753],{"class":5373},[5363,11996,11997,12000,12002,12004,12006],{"class":5365,"line":5445},[5363,11998,11999],{"class":5373},"        final_acc = history[",[5363,12001,10356],{"class":5683},[5363,12003,11013],{"class":5373},[5363,12005,5351],{"class":5517},[5363,12007,6753],{"class":5373},[5363,12009,12010,12013],{"class":5365,"line":5470},[5363,12011,12012],{"class":5373},"        status = ",[5363,12014,12015],{"class":5683},"\"✅ Успішно навчилася\"\n",[5363,12017,12018,12020],{"class":5365,"line":5488},[5363,12019,11401],{"class":5369},[5363,12021,6743],{"class":5373},[5363,12023,12024,12027,12029,12031,12033],{"class":5365,"line":5508},[5363,12025,12026],{"class":5373},"        final_loss = ",[5363,12028,10342],{"class":5452},[5363,12030,5456],{"class":5373},[5363,12032,10347],{"class":5683},[5363,12034,5527],{"class":5373},[5363,12036,12037,12040],{"class":5365,"line":5530},[5363,12038,12039],{"class":5373},"        final_acc = ",[5363,12041,10143],{"class":5517},[5363,12043,12044,12046],{"class":5365,"line":5547},[5363,12045,12012],{"class":5373},[5363,12047,12048],{"class":5683},"\"❌ Колапс (NaN\u002FInf)\"\n",[5363,12050,12051],{"class":5365,"line":5564},[5363,12052,5575],{"class":5373},[5363,12054,12055,12057,12060,12063,12065,12068,12070],{"class":5365,"line":5572},[5363,12056,5737],{"class":5369},[5363,12058,12059],{"class":5373}," name == ",[5363,12061,12062],{"class":5683},"'Zero'",[5363,12064,6586],{"class":5448},[5363,12066,12067],{"class":5373}," final_acc \u003C ",[5363,12069,11585],{"class":5517},[5363,12071,6743],{"class":5373},[5363,12073,12074,12076],{"class":5365,"line":5578},[5363,12075,12012],{"class":5373},[5363,12077,12078],{"class":5683},"\"❌ Не навчилася (симетрія)\"\n",[5363,12080,12081],{"class":5365,"line":5597},[5363,12082,5575],{"class":5373},[5363,12084,12085,12087,12089,12091,12093,12095,12097,12099,12101,12103,12106,12108,12110,12113,12115,12118,12120],{"class":5365,"line":5617},[5363,12086,6221],{"class":5476},[5363,12088,5456],{"class":5373},[5363,12090,5846],{"class":5448},[5363,12092,5804],{"class":5683},[5363,12094,5851],{"class":5448},[5363,12096,5854],{"class":5373},[5363,12098,11906],{"class":5448},[5363,12100,8142],{"class":5683},[5363,12102,5851],{"class":5448},[5363,12104,12105],{"class":5373},"final_loss ",[5363,12107,11021],{"class":5369},[5363,12109,6580],{"class":5448},[5363,12111,12112],{"class":5373}," np.isnan(final_loss) ",[5363,12114,5693],{"class":5369},[5363,12116,12117],{"class":5683}," 'NaN'",[5363,12119,8150],{"class":5448},[5363,12121,9640],{"class":5683},[5363,12123,12124,12126,12128,12130,12132,12134,12136,12138,12141,12143,12145],{"class":5365,"line":5633},[5363,12125,9645],{"class":5448},[5363,12127,5804],{"class":5683},[5363,12129,5851],{"class":5448},[5363,12131,11050],{"class":5373},[5363,12133,8296],{"class":5448},[5363,12135,8142],{"class":5683},[5363,12137,5851],{"class":5448},[5363,12139,12140],{"class":5373},"status",[5363,12142,6172],{"class":5448},[5363,12144,5804],{"class":5683},[5363,12146,5527],{"class":5373},[5363,12148,12149],{"class":5365,"line":5647},[5363,12150,5435],{"emptyLinePlaceholder":5434},[5363,12152,12153,12155,12157,12159,12161,12164],{"class":5365,"line":5657},[5363,12154,5792],{"class":5476},[5363,12156,5456],{"class":5373},[5363,12158,5804],{"class":5683},[5363,12160,5801],{"class":5800},[5363,12162,12163],{"class":5683},"🏆 Переможець: He (Kaiming) ініціалізація з точністю 95.42%\"",[5363,12165,5527],{"class":5373},[5884,12167,12168,12173,12254],{"v-slot:output":5359},[5191,12169,6359,12170],{},[5198,12171,12172],{},"Порівняльна таблиця результатів:",[5893,12174,12175,12190],{},[5896,12176,12177],{},[5899,12178,12179,12181,12184,12187],{},[5902,12180,9720],{"align":5904},[5902,12182,12183],{"align":5904},"Фінал Loss",[5902,12185,12186],{"align":5904},"Фінал Acc (%)",[5902,12188,12189],{"align":5904},"Статус",[5916,12191,12192,12208,12223,12238],{},[5899,12193,12194,12199,12202,12205],{},[5921,12195,12196],{"align":5904},[5198,12197,12198],{},"Zero",[5921,12200,12201],{"align":5904},"2.3026",[5921,12203,12204],{"align":5904},"10.12",[5921,12206,12207],{"align":5904},"❌ Не навчилася (симетрія)",[5899,12209,12210,12215,12217,12220],{},[5921,12211,12212],{"align":5904},[5198,12213,12214],{},"Naive N(0,1)",[5921,12216,8440],{"align":5904},[5921,12218,12219],{"align":5904},"0.00",[5921,12221,12222],{"align":5904},"❌ Колапс (NaN\u002FInf)",[5899,12224,12225,12229,12232,12235],{},[5921,12226,12227],{"align":5904},[5198,12228,9739],{},[5921,12230,12231],{"align":5904},"0.2145",[5921,12233,12234],{"align":5904},"93.28",[5921,12236,12237],{"align":5904},"✅ Успішно навчилася",[5899,12239,12240,12244,12247,12252],{},[5921,12241,12242],{"align":5904},[5198,12243,9760],{},[5921,12245,12246],{"align":5904},"0.1487",[5921,12248,12249],{"align":5904},[5198,12250,12251],{},"95.42",[5921,12253,12237],{"align":5904},[5191,12255,12256,12257],{},"🏆 ",[5198,12258,12259],{},"Переможець: He (Kaiming) ініціалізація з точністю 95.42%",[5207,12261,12262,12267,12272,12281],{},[5210,12263,12266],{"icon":12264,"title":12265},"i-lucide-x-circle","❌ Zero: Провал через симетрію","Accuracy не покращується з епохами, залишається на рівні випадкового вгадування (~10% для 10 класів). Всі нейрони обчислюють однакові значення.",[5210,12268,12271],{"icon":12269,"title":12270},"i-lucide-flame","💥 Naive N(0,1): Вибухаючі градієнти","Модель навіть не змогла завершити 2 епохи. Градієнти стають NaN\u002FInf через експоненціальне зростання активацій у глибоких шарах.",[5210,12273,12276,12277,12280],{"icon":12274,"title":12275},"i-lucide-alert-triangle","⚠️ Xavier: Працює, але не оптимально","93.28% accuracy — непогано, але ",[5198,12278,12279],{},"на 2.14% гірше за He",". Xavier не враховує обнулення половини нейронів ReLU активацією.",[5210,12282,12285],{"icon":12283,"title":12284},"i-lucide-trophy","🏆 He (Kaiming): Оптимальний результат","95.42% accuracy — найкраща конвергенція та фінальна якість. He ініціалізація спеціально розроблена для ReLU та ідеально підходить для сучасних глибоких мереж.",[5311,12287],{},[5186,12289,12291],{"id":12290},"висновки-та-практичні-рекомендації","Висновки та практичні рекомендації",[12293,12294,12295,12398,12456,12490],"accordion",{},[12296,12297,12300,12305,12391],"accordion-item",{"icon":12298,"label":12299},"i-lucide-help-circle","❓ Яку ініціалізацію використовувати для нової моделі?",[5191,12301,12302],{},[5198,12303,12304],{},"Загальне правило:",[8622,12306,12307,12342,12359,12369],{},[5252,12308,12309,12312,12313,12316],{},[5198,12310,12311],{},"ReLU \u002F Leaky ReLU \u002F PReLU"," → ",[5198,12314,12315],{},"He (Kaiming) initialization",[5354,12317,12319],{"className":5356,"code":12318,"language":5358,"meta":5359,"style":5359},"nn.init.kaiming_normal_(layer.weight, mode='fan_in', nonlinearity='relu')\n",[5268,12320,12321],{"__ignoreMap":5359},[5363,12322,12323,12326,12328,12330,12332,12334,12336,12338,12340],{"class":5365,"line":5366},[5363,12324,12325],{"class":5373},"nn.init.kaiming_normal_(layer.weight, ",[5363,12327,9457],{"class":5482},[5363,12329,6025],{"class":5373},[5363,12331,9462],{"class":5683},[5363,12333,5521],{"class":5373},[5363,12335,9467],{"class":5482},[5363,12337,6025],{"class":5373},[5363,12339,9472],{"class":5683},[5363,12341,5527],{"class":5373},[5252,12343,12344,12312,12347,12350],{},[5198,12345,12346],{},"Tanh \u002F Sigmoid",[5198,12348,12349],{},"Xavier (Glorot) initialization",[5354,12351,12353],{"className":5356,"code":12352,"language":5358,"meta":5359,"style":5359},"nn.init.xavier_uniform_(layer.weight)\n",[5268,12354,12355],{"__ignoreMap":5359},[5363,12356,12357],{"class":5365,"line":5366},[5363,12358,12352],{"class":5373},[5252,12360,12361,12312,12364,8594,12366],{},[5198,12362,12363],{},"GELU \u002F Swish (для Transformers)",[5198,12365,9739],{},[5198,12367,12368],{},"He з меншим gain",[5252,12370,12371,12373,12374,12377],{},[5198,12372,9814],{}," → завжди ",[5198,12375,12376],{},"нулі",[5354,12378,12380],{"className":5356,"code":12379,"language":5358,"meta":5359,"style":5359},"nn.init.constant_(layer.bias, 0)\n",[5268,12381,12382],{"__ignoreMap":5359},[5363,12383,12384,12387,12389],{"class":5365,"line":5366},[5363,12385,12386],{"class":5373},"nn.init.constant_(layer.bias, ",[5363,12388,5603],{"class":5517},[5363,12390,5527],{"class":5373},[5191,12392,12393,12394,12397],{},"Для 95% задач: використовуйте ",[5198,12395,12396],{},"дефолтну ініціалізацію PyTorch"," — вона вже оптимізована!",[12296,12399,12401,12406],{"icon":12298,"label":12400},"❓ Що робити, якщо модель не навчається?",[5191,12402,12403],{},[5198,12404,12405],{},"Діагностика проблем ініціалізації:",[8622,12407,12408,12436,12450],{},[5252,12409,12410,12413,12414,8541,12417,12420,12421],{},[5198,12411,12412],{},"Перевірте градієнти:"," виведіть ",[5268,12415,12416],{},".grad.mean()",[5268,12418,12419],{},".grad.std()"," для кожного шару",[5249,12422,12423,12430],{},[5252,12424,12425,12426,12429],{},"Якщо градієнти \u003C 1e-7 → ",[5198,12427,12428],{},"vanishing gradients"," (зменшити std ваг або змінити активацію)",[5252,12431,12432,12433,12435],{},"Якщо градієнти > 100 → ",[5198,12434,8483],{}," (зменшити std ваг або gradient clipping)",[5252,12437,12438,12441,12442],{},[5198,12439,12440],{},"Візуалізуйте активації:"," додайте hooks та збережіть розподіли активацій по шарах",[5249,12443,12444,12447],{},[5252,12445,12446],{},"Якщо всі активації ≈ 0 → проблема dead ReLU (зменшити std або використати Leaky ReLU)",[5252,12448,12449],{},"Якщо активації → ∞ → вибухаючі активації (He ініціалізація занадто агресивна)",[5252,12451,12452,12455],{},[5198,12453,12454],{},"Зменшіть learning rate"," до 0.001 та спробуйте знову",[12296,12457,12459,12464,12467,12487],{"icon":12298,"label":12458},"❓ Чи потрібна спеціальна ініціалізація для Batch Normalization?",[5191,12460,12461],{},[5198,12462,12463],{},"Короткаотповідь: НІ.",[5191,12465,12466],{},"Batch Normalization нормалізує активації кожного шару, тому вплив ініціалізації ваг значно менший. Однак:",[5249,12468,12469,12479],{},[5252,12470,12471,12474,12475,12478],{},[5198,12472,12473],{},"γ (scale) параметр BN:"," ініціалізується ",[5198,12476,12477],{},"одиницями"," (за замовчуванням)",[5252,12480,12481,12474,12484,12478],{},[5198,12482,12483],{},"β (shift) параметр BN:",[5198,12485,12486],{},"нулями",[5191,12488,12489],{},"Ці дефолтні значення оптимальні у 99% випадків. У наступній статті ми детально розглянемо Batch Normalization.",[12296,12491,12493,12499,12613],{"icon":12298,"label":12492},"❓ Як ініціалізувати лише нові шари при transfer learning?",[5191,12494,12495,12498],{},[5198,12496,12497],{},"Приклад:"," ви завантажили pretrained ResNet18 та додали свій класифікатор:",[5354,12500,12502],{"className":5356,"code":12501,"language":5358,"meta":5359,"style":5359},"import torchvision.models as models\n\n# Завантажити pretrained модель\nmodel = models.resnet18(pretrained=True)\n\n# Замінити останній FC шар\nnum_features = model.fc.in_features\nmodel.fc = nn.Linear(num_features, 10)  # 10 класів\n\n# Ініціалізувати ЛИШЕ новий FC шар\nnn.init.kaiming_normal_(model.fc.weight, mode='fan_in', nonlinearity='relu')\nnn.init.constant_(model.fc.bias, 0)\n\n# Pretrained шари залишаються без змін!\n",[5268,12503,12504,12516,12520,12525,12539,12543,12548,12553,12565,12569,12574,12595,12604,12608],{"__ignoreMap":5359},[5363,12505,12506,12508,12511,12513],{"class":5365,"line":5366},[5363,12507,5370],{"class":5369},[5363,12509,12510],{"class":5373}," torchvision.models ",[5363,12512,5385],{"class":5369},[5363,12514,12515],{"class":5373}," models\n",[5363,12517,12518],{"class":5365,"line":5377},[5363,12519,5435],{"emptyLinePlaceholder":5434},[5363,12521,12522],{"class":5365,"line":5391},[5363,12523,12524],{"class":5441},"# Завантажити pretrained модель\n",[5363,12526,12527,12530,12533,12535,12537],{"class":5365,"line":5404},[5363,12528,12529],{"class":5373},"model = models.resnet18(",[5363,12531,12532],{"class":5482},"pretrained",[5363,12534,6025],{"class":5373},[5363,12536,6028],{"class":5448},[5363,12538,5527],{"class":5373},[5363,12540,12541],{"class":5365,"line":5418},[5363,12542,5435],{"emptyLinePlaceholder":5434},[5363,12544,12545],{"class":5365,"line":5431},[5363,12546,12547],{"class":5441},"# Замінити останній FC шар\n",[5363,12549,12550],{"class":5365,"line":5438},[5363,12551,12552],{"class":5373},"num_features = model.fc.in_features\n",[5363,12554,12555,12558,12560,12562],{"class":5365,"line":5445},[5363,12556,12557],{"class":5373},"model.fc = nn.Linear(num_features, ",[5363,12559,5559],{"class":5517},[5363,12561,5611],{"class":5373},[5363,12563,12564],{"class":5441},"# 10 класів\n",[5363,12566,12567],{"class":5365,"line":5470},[5363,12568,5435],{"emptyLinePlaceholder":5434},[5363,12570,12571],{"class":5365,"line":5488},[5363,12572,12573],{"class":5441},"# Ініціалізувати ЛИШЕ новий FC шар\n",[5363,12575,12576,12579,12581,12583,12585,12587,12589,12591,12593],{"class":5365,"line":5508},[5363,12577,12578],{"class":5373},"nn.init.kaiming_normal_(model.fc.weight, ",[5363,12580,9457],{"class":5482},[5363,12582,6025],{"class":5373},[5363,12584,9462],{"class":5683},[5363,12586,5521],{"class":5373},[5363,12588,9467],{"class":5482},[5363,12590,6025],{"class":5373},[5363,12592,9472],{"class":5683},[5363,12594,5527],{"class":5373},[5363,12596,12597,12600,12602],{"class":5365,"line":5530},[5363,12598,12599],{"class":5373},"nn.init.constant_(model.fc.bias, ",[5363,12601,5603],{"class":5517},[5363,12603,5527],{"class":5373},[5363,12605,12606],{"class":5365,"line":5547},[5363,12607,5435],{"emptyLinePlaceholder":5434},[5363,12609,12610],{"class":5365,"line":5564},[5363,12611,12612],{"class":5441},"# Pretrained шари залишаються без змін!\n",[5191,12614,12615,12618,12619,12622],{},[5198,12616,12617],{},"Важливо:"," НЕ застосовуйте ",[5268,12620,12621],{},".apply(init_fn)"," до всієї моделі — це перезапише pretrained ваги!",[8751,12624,12625,12630],{},[5191,12626,12627],{},[5198,12628,12629],{},"Золоте правило ініціалізації:",[5191,12631,12632,12633,12636],{},"Для сучасних глибоких мереж з ReLU: ",[5198,12634,12635],{},"He (Kaiming) initialization + Batch Normalization = стабільне навчання",". У 90% випадків цього достатньо для успішної конвергенції.",[5311,12638],{},[5191,12640,12641,12642,12645],{},"У наступній статті ми детально розглянемо ",[5198,12643,12644],{},"Batch Normalization"," — революційну техніку, яка зробила ініціалізацію ваг менш критичною та дозволила навчати мережі із сотнями шарів.",[12647,12648,12649],"style",{},"html pre.shiki code .s8xlr, html code.shiki .s8xlr{--shiki-light:#AF00DB;--shiki-default:#C586C0;--shiki-dark:#C586C0}html pre.shiki code .sHH4Y, html code.shiki .sHH4Y{--shiki-light:#000000;--shiki-default:#D4D4D4;--shiki-dark:#D4D4D4}html pre.shiki code .spJ8K, html code.shiki .spJ8K{--shiki-light:#008000;--shiki-default:#6A9955;--shiki-dark:#6A9955}html pre.shiki code .su1O8, html code.shiki .su1O8{--shiki-light:#0000FF;--shiki-default:#569CD6;--shiki-dark:#569CD6}html pre.shiki code .sN1BT, html code.shiki .sN1BT{--shiki-light:#267F99;--shiki-default:#4EC9B0;--shiki-dark:#4EC9B0}html pre.shiki code .s8Opu, html code.shiki .s8Opu{--shiki-light:#795E26;--shiki-default:#DCDCAA;--shiki-dark:#DCDCAA}html pre.shiki code .siwwj, html code.shiki .siwwj{--shiki-light:#001080;--shiki-default:#9CDCFE;--shiki-dark:#9CDCFE}html pre.shiki code .sJj4R, html code.shiki .sJj4R{--shiki-light:#098658;--shiki-default:#B5CEA8;--shiki-dark:#B5CEA8}html pre.shiki code .sbdoH, html code.shiki .sbdoH{--shiki-light:#A31515;--shiki-default:#CE9178;--shiki-dark:#CE9178}html pre.shiki code .sjcCO, html code.shiki .sjcCO{--shiki-light:#EE0000;--shiki-default:#D7BA7D;--shiki-dark:#D7BA7D}html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":5359,"searchDepth":5377,"depth":5377,"links":12651},[12652,12653,12658,12661,12665,12669,12672,12673],{"id":5188,"depth":5377,"text":5189},{"id":5315,"depth":5377,"text":5316,"children":12654},[12655,12656,12657],{"id":5331,"depth":5391,"text":5332},{"id":6416,"depth":5391,"text":6417},{"id":6915,"depth":5391,"text":6916},{"id":7031,"depth":5377,"text":7032,"children":12659},[12660],{"id":8487,"depth":5391,"text":8488},{"id":8586,"depth":5377,"text":8587,"children":12662},[12663,12664],{"id":8600,"depth":5391,"text":8601},{"id":8732,"depth":5391,"text":8733},{"id":8786,"depth":5377,"text":8787,"children":12666},[12667,12668],{"id":8799,"depth":5391,"text":8800},{"id":8841,"depth":5391,"text":8842},{"id":8917,"depth":5377,"text":8918,"children":12670},[12671],{"id":9792,"depth":5391,"text":9793},{"id":9908,"depth":5377,"text":9909},{"id":12290,"depth":5377,"text":12291},"Чому нульова ініціалізація не працює, математика Xavier та He ініціалізації, практичне застосування у PyTorch та експериментальне порівняння методів на глибоких мережах.","md",null,{},{"title":3960,"description":12674},"Dy9LsxpEdJ0dVZZXuoDXXeISWyr3Bvx5NaitwK_NuOU",[12681,12683],{"title":3956,"path":3957,"stem":3958,"description":12682,"children":-1},"Від теоретичного градієнтного спуску до практичної роботи з великими датасетами. Розуміння batch, mini-batch та stochastic підходів, оптимізація через DataLoader та вплив розміру батчу на навчання.",{"title":3964,"path":3965,"stem":3966,"description":12684,"children":-1},"Internal Covariate Shift, математика Batch Normalization, переваги та обмеження, train\u002Feval режими, практична реалізація у PyTorch та експериментальне порівняння з базовою архітектурою.",1791986835951]