Welcome to TensorLayer
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.
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
_build folder can be generated in
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
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
TensorLayer provides a handy command-line tool tl to perform some common tasks.
.. toctree:: :maxdepth: 2 :caption: Command Line Interface modules/cli