MATLAB Modules

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== MATLAB Modules ==
== MATLAB Modules ==
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'''[[Exercise:Sparse_Autoencoder|Sparse autoencoder]]'''
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'''[[Exercise:Sparse_Autoencoder|Sparse autoencoder]]''' | [http://ufldl.stanford.edu/wiki/resources/sparseae_exercise.zip sparseae_exercise.zip]
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[http://ufldl.stanford.edu/wiki/resources/sparseae_exercise.zip sparseae_exercise.zip]
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* checkNumericalGradient.m - Makes sure that computeNumericalGradient is implmeented correctly
* checkNumericalGradient.m - Makes sure that computeNumericalGradient is implmeented correctly
* computeNumericalGradient.m - Computes numerical gradient of a function (to be filled in)
* computeNumericalGradient.m - Computes numerical gradient of a function (to be filled in)
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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]]'''
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'''[[Exercise:Vectorization|Vectorization]]''' [http://ufldl.stanford.edu/wiki/resources/mnistHelper.zip mnistHelper.zip]
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[http://ufldl.stanford.edu/wiki/resources/mnistHelper.zip mnistHelper.zip]
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* 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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'''[[Exercise:PCA_and_Whitening|PCA and Whitening]]'''
 
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[http://ufldl.stanford.edu/wiki/resources/pca_exercise.zip pca_exercise.zip]
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'''[[Exercise:PCA_and_Whitening|PCA and Whitening]]''' |  [http://ufldl.stanford.edu/wiki/resources/pca_exercise.zip pca_exercise.zip]
* display_network.m - Visualizes images or filters for autoencoders as a grid
* display_network.m - Visualizes images or filters for autoencoders as a grid
* 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]]'''
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'''[[Exercise:Softmax_Regression|Softmax Regression]]''' [http://ufldl.stanford.edu/wiki/resources/softmax_exercise.zip softmax_exercise.zip]
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[http://ufldl.stanford.edu/wiki/resources/softmax_exercise.zip softmax_exercise.zip]
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* checkNumericalGradient.m - Makes sure that computeNumericalGradient is implmeented correctly
* checkNumericalGradient.m - Makes sure that computeNumericalGradient is implmeented correctly

Revision as of 19:02, 28 April 2011

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