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Документация PuzzleLib

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- Введение
- Документация
  Документация
  - Общая информация
    Общая информация
    
    О библиотеке
    
    FAQ
    
    Установка
    Установка
    
    Windows
    
    Linux и macOS
  - База
    База
    
    Общее описание
    
    Modules
    Modules
    
    Общее описание
    
    Module
    
    Activation
    
    Add
    
    AvgPool1D
    
    AvgPool2D
    
    AvgPool3D
    
    BatchNormND
    
    BatchNorm
    
    BatchNorm1D
    
    BatchNorm2D
    
    BatchNorm3D
    
    Cast
    
    Concat
    
    ConvND
    
    Conv1D
    
    Conv2D
    
    Conv3D
    
    CrossMapLRN
    
    DeconvND
    
    Deconv1D
    
    Deconv2D
    
    Deconv3D
    
    DepthConcat
    
    Dropout
    
    Dropout2D
    
    Embedder
    
    Flatten
    
    Glue
    
    GroupLinear
    
    Identity
    
    InstanceNorm2D
    
    KMaxPool
    
    LCN
    
    Linear
    
    LRN
    
    MapLRN
    
    MaxPool1D
    
    MaxPool2D
    
    MaxPool3D
    
    MaxUnpool2D
    
    MoveAxis
    
    Mul
    
    MulAddConst
    
    NoiseInjector
    
    Pad1D
    
    Pad2D
    
    Penalty
    
    Pool1D
    
    Pool2D
    
    Pool3D
    
    PReLU
    
    Replicate
    
    Reshape
    
    RNN
    
    Slice
    
    SoftMax
    
    SpatialTf
    
    Split
    
    SubtractMean
    
    Sum
    
    SwapAxes
    
    Tile
    
    ToList
    
    Transpose
    
    Upsample2D
    
    Upsample3D
    
    Containers
    Containers
    
    Общее описание
    
    Container
    
    Sequential
    
    Parallel
    
    Node
    
    Graph
    
    Optimizers
    Optimizers
    
    Общее описание
    
    Optimizer
    
    AdaDelta
    
    AdaGrad
    
    Adam
    
    MomentumSGD
    
    NesterovSGD
    
    RMSProp
    
    RMSPropGraves
    
    SGD
    
    SMORMS3
    
    Hook
    
    Cost
    Cost
    
    Общее описание
    
    Abs
    
    BCE
    
    Cost
    
    CrossEntropy
    
    Hinge
    
    KLDivergence
    
    L1Hinge
    
    MSE
    
    Multi
    
    SmoothL1
    
    SVM
    
    Handlers
    Handlers
    
    Общее описание
    
    Handler
    
    Calculator
    
    Trainer
    
    Validator
    
    Transformers
    Transformers
    
    Общее описание
    
    Generator
    
    Provider
    
    Merger
    
    Serial
    
    Transformer
- Туториалы
  Туториалы
  - Введение
  - Начало работы
    Начало работы
    
    Блиц по PuzzleLib
    
    Автоматическое дифференцирование
    Автоматическое дифференцирование
    
    Введение
    
    Восстановление линейной функции одним нейроном
    
    Восстановление линейной функции нейронной сетью
    
    Восстановление нелинейной функции нейронной сетью с активацией
    
    Обучение MNIST классификатора
    
    Оптимизация сети
    
    Остановка и возобновление обучения сети
  - Области применения
    Области применения
    
    Computer vision
    Computer vision
    
    Обучение CIFAR классификатора
    
    Speech processing
    Speech processing
    
    Обучение модели Wav2letter
  - Дополнительные возможности
    Дополнительные возможности
    
    Взаимодействие с другими фреймворками
    Взаимодействие с другими фреймворками
    
    TensorRT engine
    
    Создайте свой собственный модуль
English
English
- Intro
- Documentation
  Documentation
  - General information
    General information
    
    About library
    
    FAQ
    
    Installation
    Installation
    
    Windows
    
    Linux and macOS
  - Base
    Base
    
    Description
    
    Modules
    Modules
    
    Description
    
    Module
    
    Activation
    
    Add
    
    AvgPool1D
    
    AvgPool2D
    
    AvgPool3D
    
    BatchNormND
    
    BatchNorm
    
    BatchNorm1D
    
    BatchNorm2D
    
    BatchNorm3D
    
    Cast
    
    Concat
    
    ConvND
    
    Conv1D
    
    Conv2D
    
    Conv3D
    
    CrossMapLRN
    
    DeconvND
    
    Deconv1D
    
    Deconv2D
    
    Deconv3D
    
    DepthConcat
    
    Dropout
    
    Dropout2D
    
    Embedder
    
    Flatten
    
    Glue
    
    GroupLinear
    
    Identity
    
    InstanceNorm2D
    
    KMaxPool
    
    LCN
    
    Linear
    
    LRN
    
    MapLRN
    
    MaxPool1D
    
    MaxPool2D
    
    MaxPool3D
    
    MaxUnpool2D
    
    MoveAxis
    
    Mul
    
    MulAddConst
    
    NoiseInjector
    
    Pad1D
    
    Pad2D
    
    Penalty
    
    Pool1D
    
    Pool2D
    
    Pool3D
    
    PReLU
    
    Replicate
    
    Reshape
    
    RNN
    
    Slice
    
    SoftMax
    
    SpatialTf
    
    Split
    
    SubtractMean
    
    Sum
    
    SwapAxes
    
    Tile
    
    ToList
    
    Transpose
    
    Upsample2D
    
    Upsample3D
    
    Containers
    Containers
    
    Description
    
    Container
    
    Sequential
    
    Parallel
    
    Node
    
    Graph
    
    Optimizers
    Optimizers
    
    Description
    
    Optimizer
    
    AdaDelta
    
    AdaGrad
    
    Adam
    
    MomentumSGD
    
    NesterovSGD
    
    RMSProp
    
    RMSPropGraves
    
    SGD
    
    SMORMS3
    
    Hook
    
    Cost
    Cost
    
    Description
    
    Abs
    
    BCE
    
    Cost
    
    CrossEntropy
    
    Hinge
    
    KLDivergence
    
    L1Hinge
    
    MSE
    
    Multi
    
    SmoothL1
    
    SVM
    
    Handlers
    Handlers
    
    Description
    
    Handler
    
    Calculator
    
    Trainer
    
    Validator
    
    Transformers
    Transformers
    
    Description
    
    Generator
    
    Provider
    
    Merger
    
    Serial
    
    Transformer
- Tutorials
  Tutorials
  - Introduction
  - Getting started
    Getting started
    
    PuzzleLib in a nutshell
    
    Automatic differentiation
    Automatic differentiation
    
    Introduction
    
    Restoring a linear function by a simple neuron
    
    Restoring a linear function by a neural network
    
    Restoration of a nonlinear function by a neural network with activation
    
    Training the MNIST classifier
    
    Network optimization
    
    Pausing and resuming network training
  - Application areas
    Application areas
    
    Computer vision
    Computer vision
    
    Training the CIFAR classifier
    
    Speech processing
    Speech processing
    
    Training the Wav2letter model
  - Additional options
    Additional options
    
    Interaction with other frameworks
    Interaction with other frameworks
    
    TensorRT engine
    
    Create your own module

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