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>