文件名称:DeepLearning

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关于深度学习的详细的各种源代码,可以更好的理解深度学习的原理。-Depth study on the various sources of detailed, we can better understand the principle of the depth of learning.
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下载文件列表





DeepLearnToolbox-master\.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

.......................\.NN\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

.......................\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

.......................\CAE

.......................\CNN

.......................\data

.......................\DBN

.......................\NN

.......................\SAE

.......................\tests

.......................\util

DeepLearnToolbox-master

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