文件名称:DeepLearnToolbox-master
介绍说明－－下载内容均来自于网络，请自行研究使用
这是关于深度学习的一些很重要的代码 包括基础的深度学习 RBM等，还有用深度学习去训练神经网络-This is about the depth of learning, including some very important code based on the depth of learning RBM, as well as by the depth of learning to train the neural network, etc.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
DeepLearnToolbox-master\.travis.yml
.......................\CONTRIBUTING.md
.......................\create_readme.sh
.......................\LICENSE
.......................\README.md
.......................\README_header.md
.......................\REFS.md
.......................\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
.......................\tests\mnist_uint8.mat
.......................\.....\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
.......................\SAE\saesetup.m
.......................\...\saetrain.m
.......................\NN\nnapplygrads.m
.......................\..\nnbp.m
.......................\..\nnchecknumgrad.m
.......................\..\nneval.m
.......................\..\nnff.m
.......................\..\nnpredict.m
.......................\..\nnsetup.m
.......................\..\nntest.m
.......................\..\nntrain.m
.......................\..\nnupdatefigures.m
.......................\data\mnist_uint8.mat
.......................\....\DBN\dbnsetup.m
.......................\....\...\dbntrain.m
.......................\....\...\dbnunfoldtonn.m
.......................\....\...\rbmdown.m
.......................\....\...\rbmtrain.m
.......................\....\...\rbmup.m
.......................\CNN\cnnapplygrads.m
.......................\...\cnnbp.m
.......................\...\cnnff.m
.......................\...\cnnnumgradcheck.m
.......................\...\cnnsetup.m
.......................\...\cnntest.m
.......................\...\cnntrain.m
.......................\.AE\caeapplygrads.m
.......................\...\caebbp.m
.......................\...\caebp.m
.......................\...\caedown.m
.......................\...\caeexamples.m
.......................\...\caenumgradcheck.m
.......................\...\caesdlm.m
.......................\...\caetrain.m
.......................\...\caeup.m
.......................\...\max3d.m
.......................\...\scaesetup.m
.......................\...\scaetrain.m
.......................\data\DBN
.......................\util
.......................\tests
.......................\SAE
.......................\NN
.......................\data
.......................\CNN
.......................\CAE
DeepLearnToolbox-master