文件名称:DeeBNetV3.1
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matlab code for deeplearning by DBN
(系统自动生成,下载前可以参看下载内容)
下载文件列表
DeeBNetV3.1
...........\+ISOLET
...........\.......\prepareISOLET.m
...........\+MNIST
...........\......\mnist_small.mat
...........\......\prepareMNIST.m
...........\......\prepareMNIST_Small.m
...........\+TwentyNewsgroups
...........\.................\prepare20Newsgroups.m
...........\DeeBNet
...........\.......\+DataClasses
...........\.......\............\DataStore.m
...........\.......\+SamplingClasses
...........\.......\................\Cd.m
...........\.......\................\FEPcd.m
...........\.......\................\freeEnergy.m
...........\.......\................\Gibbs.m
...........\.......\................\Pcd.m
...........\.......\................\Sampling.m
...........\.......\................\SamplingMethodType.m
...........\.......\+tools
...........\.......\......\gather.m
...........\.......\......\ind2vec.m
...........\.......\......\isoctave.m
...........\.......\......\softmax.m
...........\.......\DBN.m
...........\.......\DiscriminativeRBM.m
...........\.......\GenerativeRBM.m
...........\.......\RBM.m
...........\.......\RbmParameters.m
...........\.......\RbmType.m
...........\.......\SparseDiscriminativeRBM.m
...........\.......\SparseGenerativeRBM.m
...........\.......\SparseRBM.m
...........\.......\ValueType.m
...........\DeepLearnToolboxGPU
...........\...................\.gitignore
...........\...................\create_readme.sh
...........\...................\LICENSE
...........\...................\NN
...........\...................\..\.gitignore
...........\...................\..\nnapplygrads.m
...........\...................\..\nnbp.m
...........\...................\..\nnbp_gpu.m
...........\...................\..\nnchecknumgrad.m
...........\...................\..\nneval.m
...........\...................\..\nnff.m
...........\...................\..\nnff_gpu.m
...........\...................\..\nnmatthew.m
...........\...................\..\nnopts_setup.m
...........\...................\..\nnplotmatthew.m
...........\...................\..\nnplotnntest.m
...........\...................\..\nnplotsigp.m
...........\...................\..\nnplottest.m
...........\...................\..\nnpredict.m
...........\...................\..\nnsetup.m
...........\...................\..\nnsigp.m
...........\...................\..\nntest.m
...........\...................\..\nntrain.m
...........\...................\..\nntrain_gpu.m
...........\...................\..\nnupdatefigures.m
...........\...................\README.md
...........\...................\README_header.md
...........\...................\util
...........\...................\....\accuracy.m
...........\...................\....\allcomb.m
...........\...................\....\bytesize.m
...........\...................\....\chisquarecont.m
...........\...................\....\chunkify.m
...........\...................\....\confusion.m
...........\...................\....\cpLossToHost.m
...........\...................\....\cpNNtoGPU.m
...........\...................\....\cpNNtoHost.m
...........\...................\....\expand.m
...........\...................\....\extractminibatch.m
...........\...................\....\flicker.m
...........\...................\....\flipall.m
...........\...................\....\fliplrf.m
...........\...................\....\flipudf.m
...........\...................\....\im2patches.m
...........\...................\....\log_sum_exp_over_cols.m
...........\...................\....\makeLMfilters.m
...........\...................\....\matthew.m
...........\...................\....\nnsoftmax.m
...........\...................\....\normalize.m
...........\...................\....\patches2im.m
...........\...................\....\precision.m
...........\...................\....\randcorr.m
...........\...................\....\randp.m
...........\...................\....\recall.m
...........\...................\....\ReLU.m
...........\...................\....\rnd.m
...........\...................\....\save_figure.m
...........\...................\....\sensitivity.m
...........\...................\....\sigm