Chainer
v3.3.0
Tutorial
Introduction to Chainer
How to Write a New Network
How to Train a Network
Using GPU(s) in Chainer
Customizing Chainer
Type check
Reference Manual
Development
API Compatibility Policy
Contribution Guide
Misc
Installation Guide
Tips and FAQs
Upgrade Guide
Comparison with Other Frameworks
License
Chainer
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Tutorial
¶
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
How to Train a Network
How to write a training loop in Chainer
Let’s try using the Trainer feature
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
Customizing Chainer
Define your own function
Create your own trainer extension
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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v: v3.3.0
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