https://github.com/nitishsrivastava/deepnet

Implementation of some deep learning algorithms.
https://github.com/nitishsrivastava/deepnet

Last synced: 28 days ago
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Implementation of some deep learning algorithms.

• Host: GitHub
• URL: https://github.com/nitishsrivastava/deepnet
• Owner: nitishsrivastava
• License: bsd-3-clause
• Created: 2012-12-02T18:28:52.000Z (about 13 years ago)
• Default Branch: master
• Last Pushed: 2014-07-09T14:24:13.000Z (over 11 years ago)
• Last Synced: 2025-07-19T23:24:12.737Z (6 months ago)
• Language: Python
• Size: 40.9 MB
• Stars: 896
• Watchers: 118
• Forks: 439
• Open Issues: 60
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

          
deepnet

=======

## Implementation of some deep learning algorithms. ##

GPU-based python implementation of

1.  Feed-forward Neural Nets

2.  Restricted Boltzmann Machines

3.  Deep Belief Nets

4.  Autoencoders

5.  Deep Boltzmann Machines

6.  Convolutional Neural Nets

Built on top of the [cudamat](http://code.google.com/p/cudamat/) library by

Vlad Mnih and [cuda-convnet](http://code.google.com/p/cuda-convnet/) library by

Alex Krizhevsky.