Blocks is a framework that helps you build neural network models on top of Theano. Currently it supports and provides:

• Constructing parametrized Theano operations, called "bricks"
• Pattern matching to select variables and bricks in large models
• Algorithms to optimize your model
• Saving and resuming of training
• Monitoring and analyzing values during training progress (on the training set as well as on test sets)
• Application of graph transformations, such as dropout (limited support)

In the future we also hope to support:

• Dimension, type and axes-checking

Please see the documentation for more information.

If you want to contribute, please make sure to read the developer guidelines.