文件名称:DeeBNetV3.2

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  • 编程文档
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2016-09-13
  • 文件大小:
  • 2.91mb
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  • 1次
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deep feature learning with relative distance
(系统自动生成,下载前可以参看下载内容)

下载文件列表





DeeBNetV3.2

...........\+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

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