Blocks: A Theano framework for building and training neural networks

Project Website: None

Github Link:

Description

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
In the future we also hope to support:

Dimension, type and axes-checking
See Also:
Fuel, the data processing engine developed primarily for Blocks.
Blocks-examples for maintained examples of scripts using Blocks.
Blocks-extras for semi-maintained additional Blocks components.