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Welcome to TensorLayer

user/my_figs/tl_transparent_logo.png

Documentation Version: |release|

Good News: We won the Best Open Source Software Award @ACM Multimedia (MM) 2017.

TensorLayer is a Deep Learning (DL) and Reinforcement Learning (RL) library extended from Google TensorFlow. It provides popular DL and RL modules that can be easily customized and assembled for tackling real-world machine learning problems. More details can be found here.

Note

If you got problem to read the docs online, you could download the repository on GitHub, then go to /docs/_build/html/index.html to read the docs offline. The _build folder can be generated in docs using make html.

User Guide

The TensorLayer user guide explains how to install TensorFlow, CUDA and cuDNN, how to build and train neural networks using TensorLayer, and how to contribute to the library as a developer.

.. toctree::
  :maxdepth: 2
  :caption: Starting with TensorLayer

  user/installation
  user/tutorials
  user/examples
  user/contributing
  user/get_involved
  user/faq

API Reference

If you are looking for information on a specific function, class or method, this part of the documentation is for you.

.. toctree::
  :maxdepth: 2
  :caption: Stable Functionalities

  modules/activation
  modules/array_ops
  modules/cost
  modules/distributed
  modules/files
  modules/iterate
  modules/layers
  modules/models
  modules/nlp
  modules/optimizers
  modules/prepro
  modules/rein
  modules/utils
  modules/visualize

.. toctree::
  :maxdepth: 2
  :caption: Alpha Version Functionalities

  modules/db


Command-line Reference

TensorLayer provides a handy command-line tool tl to perform some common tasks.

.. toctree::
  :maxdepth: 2
  :caption: Command Line Interface

  modules/cli


Indices and tables