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Chainer -- A flexible framework of neural networks

Chainer is a powerful, flexible and intuitive deep learning framework.

  • Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort.
  • Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures.
  • Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It makes code intuitive and easy to debug.
.. toctree::
   :maxdepth: 2
   :caption: Chainer Documentation

   glance
   install
   guides/index
   examples/index
   reference/index
   chainerx/index
   chainermn/index

.. toctree::
   :maxdepth: 1
   :caption: Other

   compatibility
   contribution
   tips
   performance
   upgrade
   comparison
   license

Indices and tables

.. toctree::
   :maxdepth: 1
   :caption: Community

   Slack Chat <https://bit.ly/join-chainer-slack>
   Forums <https://groups.google.com/forum/#!forum/chainer>
   Notebook Examples <https://chainer-colab-notebook.readthedocs.io/en/latest/>
   Examples in Awesome Chainer <https://github.com/chainer-community/awesome-chainer>