MATLAB Modules

From Ufldl

Jump to: navigation, search
(Filled in file contents)
 
Line 1: Line 1:
== MATLAB Modules ==
== MATLAB Modules ==
-
'''[[Exercise:Sparse_Autoencoder|Sparse autoencoder]]'''
+
'''[[Exercise:Sparse_Autoencoder|Sparse autoencoder]]''' | [http://ufldl.stanford.edu/wiki/resources/sparseae_exercise.zip sparseae_exercise.zip]
-
 
+
* checkNumericalGradient.m - Makes sure that computeNumericalGradient is implmented correctly
-
[http://ufldl.stanford.edu/wiki/resources/sparseae_exercise.zip sparseae_exercise.zip]
+
-
* 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)
* display_network.m - Visualizes images or filters for autoencoders as a grid
* display_network.m - Visualizes images or filters for autoencoders as a grid
Line 12: Line 10:
* train.m - Framework for training and testing sparse autoencoder
* train.m - Framework for training and testing sparse autoencoder
-
'''[[Exercise:Vectorization|Vectorization]]'''
 
-
[http://ufldl.stanford.edu/wiki/resources/mnistHelper.zip mnistHelper.zip]
+
'''[[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
-
'''[[Exercise:PCA_and_Whitening|PCA and Whitening]]'''
 
-
[http://ufldl.stanford.edu/wiki/resources/pca_exercise.zip pca_exercise.zip]
+
 
 +
'''[[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
-
'''[[Exercise:Softmax_Regression|Softmax Regression]]'''
+
-
 
+
'''[[Exercise:Softmax_Regression|Softmax Regression]]''' |  [http://ufldl.stanford.edu/wiki/resources/softmax_exercise.zip softmax_exercise.zip]
-
[http://ufldl.stanford.edu/wiki/resources/softmax_exercise.zip softmax_exercise.zip]
+
-
* checkNumericalGradient.m - Makes sure that computeNumericalGradient is implmeented correctly
+
* 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

Latest revision as of 19:55, 29 April 2011

Retrieved from "http://ufldl.stanford.edu/wiki/index.php/MATLAB_Modules"
Personal tools