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", with a large number of neural network layers built-in
• Pattern matching to select variables and bricks in large models
• Algorithms to optimize your model such as SGD, Adadelta, Adam
• 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

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Platform Independent

Data Formats: Agnostic

Tags: Deep Learning, Neural Networks, Machine Learning

Archive: download here

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