Chainer
v1.24.0
Install Guide
Chainer Tutorial
Introduction to Chainer
How to Write a New Network
Using GPU(s) in Chainer
Define your own function
Type check
Chainer Reference Manual
CuPy Reference Manual
Chainer Contribution Guide
API Compatibility Policy
Tips and FAQs
Comparison with Other Frameworks
License
Chainer
Docs
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Chainer Tutorial
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Chainer Tutorial
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Introduction to Chainer
Core Concept
Forward/Backward Computation
Links
Write a model as a chain
Optimizer
Trainer
Serializer
Example: Multi-layer Perceptron on MNIST
How to Write a New Network
Convolutional Network for Visual Recognition Tasks
Recurrent Nets and their Computational Graph
Using GPU(s) in Chainer
Relationship between Chainer and CuPy
Basics of
cupy.ndarray
Run Neural Networks on a Single GPU
Model-parallel Computation on Multiple GPUs
Data-parallel Computation on Multiple GPUs with Trainer
Data-parallel Computation on Multiple GPUs without Trainer
Define your own function
Differentiable Functions
Unified forward/backward methods with NumPy/CuPy functions
Write an Elementwise Kernel Function
Links that wrap functions
Testing Function
Type check
Basic usage of type check
Detail of type information
Internal mechanism of type check
More powerful methods
Call functions
More complicated cases
Typical type check example
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