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extension
Документация PuzzleLib
Home
Русский
Русский
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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