API Reference

• Variable and Parameter
  • Variable classes and utilities
  • N-dimensional array
• Functions
  • Arithmetic functions
  • Activation functions
  • Array manipulations
  • Neural network connections
  • Evaluation functions
  • Loss functions
  • Mathematical functions
  • Noise injections
  • Normalization functions
  • Spatial pooling
  • Utility functions
  • Function base
  • Function hooks
• Link and Chains
  • Learnable connections
  • Activation/loss/normalization functions with parameters
  • Machine learning models
  • Pre-trained models
  • Link and Chain base classes
  • Link hooks
• Probability Distributions
  • Distributions
  • Functionals of distribution
  • Base classes
• Optimizers
  • chainer.optimizers.AdaDelta
  • chainer.optimizers.AdaGrad
  • chainer.optimizers.Adam
  • chainer.optimizers.CorrectedMomentumSGD
  • chainer.optimizers.MomentumSGD
  • chainer.optimizers.NesterovAG
  • chainer.optimizers.RMSprop
  • chainer.optimizers.RMSpropGraves
  • chainer.optimizers.SGD
  • chainer.optimizers.SMORMS3
  • Optimizer base classes
  • Hook functions
• Weight Initializers
  • Base class
  • Concrete initializers
  • Helper function
• Training Tools
  • Trainer
  • Updaters
  • Extensions
  • Triggers
• Datasets
  • Dataset Abstraction (chainer.dataset)
  • Dataset Examples (chainer.datasets)
  • General Datasets
  • Concrete Datasets
• Iterator
  • chainer.iterators.SerialIterator
  • chainer.iterators.MultiprocessIterator
  • chainer.iterators.MultithreadIterator
  • chainer.iterators.DaliIterator
  • Order sampler examples
• Serializers
  • Serialization in NumPy NPZ format
  • Serialization in HDF5 format
  • Serializers base classes
• Utilities
  • Convolution/Deconvolution utilities
  • CUDA and Backend Utilities
  • Common algorithms
  • Reporter
  • Sparse utilities
  • Experimental feature annotation
• Configuring Chainer
  • Configuration Keys
  • User-defined Keys
  • Changing Configuration
  • Environment Variables
• Debug Mode
  • chainer.is_debug
  • chainer.set_debug
  • Deprecated interface
• Visualization of Computational Graph
  • chainer.computational_graph.build_computational_graph
  • chainer.computational_graph.ComputationalGraph
• Static Subgraph Optimizations: Usage
  • chainer.static_graph
  • Basic usage
  • Calling a static chain multiple times in the same iteration
  • Effects on model debugging
  • Limitations and future work
  • Examples
• Static Subgraph Optimizations: Design Notes
  • Overview of dynamic and static graph frameworks
  • Static subgraph optimizations feature
  • Adding support to existing functions
  • Adding support to existing links
  • Reference
• Caffe Model Support
  • Import
  • Export
• Assertion and Testing
  • Type checking utilities
  • Gradient checking utilities
  • Standard Assertions
  • Function testing utilities
  • Serialization testing utilities
  • Trainer Extension Testing Utilities
  • Repeat decorators
  • Unit test annotation
  • Parameterized test