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文件名称:DeeBNetV3.2

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  • 上传时间:
    2017-07-07
  • 文件大小:
    2.91mb
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    别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容来自于网络,使用问题请自行百度

matlab's deep belief network toolbox
(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
DeeBNetV3.2\+ISOLET
DeeBNetV3.2\+ISOLET\prepareISOLET.m
DeeBNetV3.2\+MNIST
DeeBNetV3.2\+MNIST\mnist_small.mat
DeeBNetV3.2\+MNIST\prepareMNIST.m
DeeBNetV3.2\+MNIST\prepareMNIST_Small.m
DeeBNetV3.2\+TwentyNewsgroups
DeeBNetV3.2\+TwentyNewsgroups\prepare20Newsgroups.m
DeeBNetV3.2\DeeBNet
DeeBNetV3.2\DeeBNet\+DataClasses
DeeBNetV3.2\DeeBNet\+DataClasses\DataStore.m
DeeBNetV3.2\DeeBNet\+SamplingClasses
DeeBNetV3.2\DeeBNet\+SamplingClasses\Cd.m
DeeBNetV3.2\DeeBNet\+SamplingClasses\FEPcd.m
DeeBNetV3.2\DeeBNet\+SamplingClasses\freeEnergy.m
DeeBNetV3.2\DeeBNet\+SamplingClasses\Gibbs.m
DeeBNetV3.2\DeeBNet\+SamplingClasses\Pcd.m
DeeBNetV3.2\DeeBNet\+SamplingClasses\Sampling.m
DeeBNetV3.2\DeeBNet\+SamplingClasses\SamplingMethodType.m
DeeBNetV3.2\DeeBNet\+tools
DeeBNetV3.2\DeeBNet\+tools\gather.m
DeeBNetV3.2\DeeBNet\+tools\ind2vec.m
DeeBNetV3.2\DeeBNet\+tools\isoctave.m
DeeBNetV3.2\DeeBNet\+tools\softmax.m
DeeBNetV3.2\DeeBNet\DBN.m
DeeBNetV3.2\DeeBNet\DiscriminativeRBM.m
DeeBNetV3.2\DeeBNet\GenerativeRBM.m
DeeBNetV3.2\DeeBNet\RBM.m
DeeBNetV3.2\DeeBNet\RbmParameters.m
DeeBNetV3.2\DeeBNet\RbmType.m
DeeBNetV3.2\DeeBNet\SparseDiscriminativeRBM.m
DeeBNetV3.2\DeeBNet\SparseGenerativeRBM.m
DeeBNetV3.2\DeeBNet\SparseRBM.m
DeeBNetV3.2\DeeBNet\ValueType.m
DeeBNetV3.2\DeepLearnToolboxGPU
DeeBNetV3.2\DeepLearnToolboxGPU\.gitignore
DeeBNetV3.2\DeepLearnToolboxGPU\create_readme.sh
DeeBNetV3.2\DeepLearnToolboxGPU\LICENSE
DeeBNetV3.2\DeepLearnToolboxGPU\NN
DeeBNetV3.2\DeepLearnToolboxGPU\NN\.gitignore
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnapplygrads.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnbp.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnbp_gpu.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnchecknumgrad.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nneval.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnff.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnff_gpu.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnmatthew.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnopts_setup.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnplotmatthew.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnplotnntest.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnplotsigp.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnplottest.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnpredict.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnsetup.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnsigp.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nntest.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nntrain.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nntrain_gpu.m
DeeBNetV3.2\DeepLearnToolboxGPU\NN\nnupdatefigures.m
DeeBNetV3.2\DeepLearnToolboxGPU\README.md
DeeBNetV3.2\DeepLearnToolboxGPU\README_header.md
DeeBNetV3.2\DeepLearnToolboxGPU\util
DeeBNetV3.2\DeepLearnToolboxGPU\util\accuracy.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\allcomb.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\bytesize.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\chisquarecont.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\chunkify.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\confusion.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\cpLossToHost.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\cpNNtoGPU.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\cpNNtoHost.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\expand.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\extractminibatch.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\flicker.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\flipall.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\fliplrf.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\flipudf.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\im2patches.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\log_sum_exp_over_cols.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\makeLMfilters.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\matthew.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\nnsoftmax.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\normalize.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\patches2im.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\precision.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\randcorr.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\randp.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\recall.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\ReLU.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\rnd.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\save_figure.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\sensitivity.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\sigm.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\sigmrnd.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\specificity.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\tanh_opt.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\visualize.m
DeeBNetV3.2\DeepLearnToolboxGPU\util\whiten.m

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