MATLAB Modules

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* train.m - Framework for training and testing sparse autoencoder
* train.m - Framework for training and testing sparse autoencoder
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'''[[Exercise:Vectorization|Vectorization]]''' |  [http://ufldl.stanford.edu/wiki/resources/mnistHelper.zip mnistHelper.zip]
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'''[[Using the MNIST Dataset]]''' |  [http://ufldl.stanford.edu/wiki/resources/mnistHelper.zip mnistHelper.zip]
* loadMNISTImages.m - Returns a matrix containing raw MNIST images
* loadMNISTImages.m - Returns a matrix containing raw MNIST images
* loadMNISTLabels.m - Returns a matrix containing MNIST labels
* loadMNISTLabels.m - Returns a matrix containing MNIST labels
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* pca_gen.m - Framework for whitening exercise
* pca_gen.m - Framework for whitening exercise
* sampleIMAGESRAW.m - Returns 8x8 raw unwhitened patches
* sampleIMAGESRAW.m - Returns 8x8 raw unwhitened patches
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'''[[Exercise:Softmax_Regression|Softmax Regression]]''' |  [http://ufldl.stanford.edu/wiki/resources/softmax_exercise.zip softmax_exercise.zip]
'''[[Exercise:Softmax_Regression|Softmax Regression]]''' |  [http://ufldl.stanford.edu/wiki/resources/softmax_exercise.zip softmax_exercise.zip]

Revision as of 19:04, 28 April 2011

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