文件名称:DeepLearnToolbox

介绍说明--下载内容均来自于网络,请自行研究使用

matlab深度学习工具箱,有CNN DBN SAE多种模型,值得拥有!-Matlab depth learning toolbox, there are a variety of models of CNN DBN SAE, worth having!
(系统自动生成,下载前可以参看下载内容)

下载文件列表





DeepLearnToolbox\.git\config

................\....\description

................\....\HEAD

................\....\hooks\applypatch-msg.sample

................\....\.....\commit-msg.sample

................\....\.....\post-update.sample

................\....\.....\pre-applypatch.sample

................\....\.....\pre-commit.sample

................\....\.....\pre-push.sample

................\....\.....\pre-rebase.sample

................\....\.....\prepare-commit-msg.sample

................\....\.....\update.sample

................\....\index

................\....\..fo\exclude

................\....\logs\HEAD

................\....\....\refs\heads\master

................\....\....\....\remotes\origin\HEAD

................\....\objects\pack\pack-7eff8eb51dc83c666d6a2c7b705926a3998ed220.idx

................\....\.......\....\pack-7eff8eb51dc83c666d6a2c7b705926a3998ed220.pack

................\....\packed-refs

................\....\refs\heads\master

................\....\....\remotes\origin\HEAD

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

................\.git\logs\refs\remotes\origin

................\....\....\....\heads

................\....\....\....\remotes

................\....\refs\remotes\origin

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