一个Theano框架用于构建和训练神经网络

一个Theano框架用于构建和训练神经网络

Blocks

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 modelsAlgorithms to optimize your modelSaving and resuming of trainingMonitoring 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. Citing Blocks If you use Blocks or Fuel in your work, we'd really appreciate it if you could cite the following paper:Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, and Yoshua Bengio, "Blocks and Fuel: Frameworks for deep learning," arXiv preprint arXiv:1506.00619 [cs.LG], 2015. Documentation Please see the documentation for more information. Contributing If you want to contribute, please make sure to read the developer guidelines.

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