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.
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.
modules/layers modules/cost modules/prepro modules/iterate modules/utils modules/nlp modules/rein modules/files modules/visualize modules/ops modules/activation modules/db
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