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Title: DeepLearnToolbox Download
 Description: DeepLearnToolbox is a MATLAB toolbox about depth learning, contains realizations of deep belief network DBN, convolutional networks CNN, SAE (stacked auto-encoders), CAE auto-encoders and NN depth learning algorithm.
 Downloaders recently: [More information of uploader 马丁]
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.travis.yml
CAE
...\caeapplygrads.m
...\caebbp.m
...\caebp.m
...\caedown.m
...\caeexamples.m
...\caenumgradcheck.m
...\caesdlm.m
...\caetrain.m
...\caeup.m
...\max3d.m
...\scaesetup.m
...\scaetrain.m
CNN
cnn.mat
CNN\cnnapplygrads.m
...\cnnbp.m
...\cnnff.m
...\cnnnumgradcheck.m
...\cnnsetup.m
...\cnntest.m
...\cnntrain.m
CONTRIBUTING.md
create_readme.sh
data
....\mnist_uint8.mat
DBN
...\dbnsetup.m
...\dbntrain.m
...\dbnunfoldtonn.m
...\rbmdown.m
...\rbmtrain.m
...\rbmup.m
LICENSE
NN
..\nnapplygrads.m
..\nnbp.m
..\nnchecknumgrad.m
..\nneval.m
..\nnff.m
..\nnpredict.m
..\nnsetup.m
..\nntest.m
..\nntrain.m
..\nnupdatefigures.m
README.md
README_header.md
REFS.md
SAE
...\saesetup.m
...\saetrain.m
tests
.....\runalltests.m
.....\test_cnn_gradients_are_numerically_correct.m
.....\test_example_CNN.m
.....\test_example_DBN.m
.....\test_example_NN.m
.....\test_example_SAE.m
.....\test_nn_gradients_are_numerically_correct.m
test_example_CNN.m
util
....\allcomb.m
....\expand.m
....\flicker.m
....\flipall.m
....\fliplrf.m
....\flipudf.m
....\im2patches.m
....\isOctave.m
....\makeLMfilters.m
....\myOctaveVersion.m
....\normalize.m
....\patches2im.m
....\randcorr.m
....\randp.m
....\rnd.m
....\sigm.m
....\sigmrnd.m
....\softmax.m
....\tanh_opt.m
....\visualize.m
....\whiten.m
....\zscore.m
    

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