Deep learning for machine learning

DeepLearnLab-master
...................\.gitignore
...................\README.md
...................\code
...................\....\CRBM
...................\....\....\crbmGradients.m
...................\....\....\crbmHExpectation.m
...................\....\....\crbmSampleK.m
...................\....\....\crbmVExpectation.m
...................\....\....\crbmVisualize.m
...................\....\....\createCRBM.m
...................\....\RBM
...................\....\...\createRBM.m
...................\....\...\rbmGradients.m
...................\....\...\rbmHExpectation.m
...................\....\...\rbmSampleK.m
...................\....\...\rbmVExpectation.m
...................\....\...\rbmVisualize.m
...................\....\...\trainRBM.m
...................\....\examples
...................\....\........\trainCRBMMNIST.m
...................\....\........\trainRBMMNIST.m
...................\....\util
...................\....\....\bernoulli_sample.m
...................\....\....\convcut.m
...................\....\....\kthMap.m
...................\....\....\sigmoid.m
...................\data
...................\....\mnist
...................\....\.....\README.txt
...................\doc
...................\...\dbn_tutorial.pdf
...................\...\supplementary_reading_list.pdf

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