MATLAB Modules
From Ufldl
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'''[[Exercise:Sparse_Autoencoder|Sparse autoencoder]]''' | [http://ufldl.stanford.edu/wiki/resources/sparseae_exercise.zip sparseae_exercise.zip] | '''[[Exercise:Sparse_Autoencoder|Sparse autoencoder]]''' | [http://ufldl.stanford.edu/wiki/resources/sparseae_exercise.zip sparseae_exercise.zip] | ||
| - | * checkNumericalGradient.m - Makes sure that computeNumericalGradient is | + | * checkNumericalGradient.m - Makes sure that computeNumericalGradient is implmented 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) | ||
* display_network.m - Visualizes images or filters for autoencoders as a grid | * display_network.m - Visualizes images or filters for autoencoders as a grid | ||
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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] | ||
| - | * checkNumericalGradient.m - Makes sure that computeNumericalGradient is | + | * checkNumericalGradient.m - Makes sure that computeNumericalGradient is implmented correctly |
* display_network.m - Visualizes images or filters for autoencoders as a grid | * display_network.m - Visualizes images or filters for autoencoders as a grid | ||
* loadMNISTImages.m - Returns a matrix containing raw MNIST images | * loadMNISTImages.m - Returns a matrix containing raw MNIST images | ||
