RBM代码实现MATLAB
This is a small library that can train Restricted Boltzmann Machines, and also Deep Belief Networks of stacked RBM's.
Train RBM's:
%train an RBM with binary visible units and 500 binary hidden
model= rbmBB(data, 500);
%visualize the learned weights
visualize(model.W);
Do classification:
model= rbmFit(data, 500, labels);
prediction= rbmPredict(model, testdata);
Train a Deep Belief Network with 500,500,2000 architecture for classification:
models= dbnFit(data, [500 500 2000], labels);
prediction= dbnPredict(models, testdata);
see included example code for more
I can be contacted on andrej.karpathy@ gmail.
NOTE: This was a class project that I worked on for 1 month and then abandoned development for almost 4 years ago. Please do not send me specific questions about issues with the code or questions on how to do something. I only put this code online in hope that it can be useful to others but cannot fully support it.
If you would like pointers to more actively maintained implementations, have a look here (https://github.com/rasmusbergpalm/DeepLearnToolbox) or maybe here (https://github.com/lisa-lab/DeepLearningTutorials)
Sorry and best of luck!
原文：http://code.google.com/p/matrbm/
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评论信息
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SUNTANGLE :感谢分享，可以直接使用。2018-10-24 -
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xxlhym94 :还不错学习了2017-11-16
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qq_15025373 :代码不错，通俗易懂，值得学习2017-02-23
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NWPUStrongDragon :学习学习，初学者的感觉2017-02-19
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aong397 :运行有错啊2016-07-11
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