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.
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
.
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 user/installation user/tutorial user/example user/development user/more
If you are looking for information on a specific function, class or method, this part of the documentation is for you.
.. toctree:: :maxdepth: 2 modules/layers modules/cost modules/prepro modules/iterate modules/utils modules/nlp modules/rein modules/files modules/visualize modules/ops modules/activation modules/db