Chainer
  • Chainer Tutorial
    • Introduction to Chainer
      • Core Concept
      • Forward/Backward Computation
      • Parameterized functions
      • FunctionSet
      • Optimizer
      • Example: Multi-layer Perceptron on MNIST
    • Recurrent Nets and their Computational Graph
      • Recurrent Nets
      • Truncate the Graph by Unchaining
      • Network Evaluation without Storing the Computation History
    • Using GPU(s) in Chainer
      • Relationship between Chainer and PyCUDA
      • Basics of GPUArray in Chainer
      • Run Neural Networks on a Single GPU
      • Model-parallel Computation on Multiple GPUs
      • Data-parallel Computation on Multiple GPUs
    • Define your own function
      • Non-parameterized Functions
      • Write an Elementwise Kernel Function
      • Parameterized Functions
      • Testing Function
  • Chainer Reference Manual
    • Core functionalities
      • Variable
      • Function
      • FunctionSet
      • Optimizer
    • Utilities
      • CUDA utilities
        • Initialization and global states
        • Devices and contexts
        • GPUArray allocation and copy
        • Random number generators
        • Kernel definition utilities
        • Interprocess communication on GPU
      • Common algorithms
    • Assertion and Testing
      • Type checking utilites
      • Gradient checking utilities
    • Standard Function implementations
      • Learnable connections
      • Array commputation functions
      • Array manipulation functions
      • Array computations
      • Activation functions
      • Pooling functions
      • Normalization functions
      • Loss, evaluation and aggregation
      • Reusable subnetwork of complex architectures
    • Optimizers
    • Caffe Reference Model Support
    • Visualization of Computational Graph
  • Chainer Contribution Guide
    • Classification of Contributions
    • Release and Milestone
    • Issues and PRs
    • Coding Guidelines
    • Testing Guidelines
 
Chainer
  • Docs »
  • Chainer Tutorial
  • Edit on Bitbucket

Chainer Tutorial¶

  • Introduction to Chainer
  • Recurrent Nets and their Computational Graph
  • Using GPU(s) in Chainer
  • Define your own function
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