Documentation of sklearn-theano 0.1ΒΆ

User Guide

The main documentation. This contains an in-depth description of all algorithms and how to apply them.


Useful examples of a few things sklearn-theano can do.


The exact API of all functions and classes, as given by the docstrings. The API documents expected types and allowed features for all functions, and all parameters available for the algorithms.

Additional Resources

Talks given, slide-sets and other information relevant to sklearn-theano


Information on how to contribute. This also contains useful information for advanced users, for example how to build their own estimators.