文件名称:DeeBNetV2.2
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深度置信网络源码，有配合的文档可以参考，详见内容-DBN source code
(系统自动生成,下载前可以参看下载内容)
下载文件列表
DeeBNetV2.2
...........\+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
...........\.......\DBN.m
...........\.......\DiscriminativeRBM.m
...........\.......\GenerativeRBM.m
...........\.......\RBM.m
...........\.......\RbmParameters.m
...........\.......\RbmType.m
...........\.......\SparseDiscriminativeRBM.m
...........\.......\SparseGenerativeRBM.m
...........\.......\SparseRBM.m
...........\.......\ValueType.m
...........\ReadMe.txt
...........\test_classification20Newsgroups.m
...........\test_classificationISOLET.m
...........\test_classificationMNIST.m
...........\test_classificationMNIST_usingGPU.m
...........\test_generateClassMNIST.m
...........\test_generateDataMNIST.m
...........\test_getFeature20Newsgroups.m
...........\test_getFeatureISOLET.m
...........\test_getFeatureMNIST.m
...........\test_getFeatureMNIST_usingGPU.m
...........\test_plotDataMNIST.m
...........\test_reconstructDataMNIST.m
...........\test_reconstructDataMNIST2.m
...........\test_sparsityAndBasesFunctionMNIST.m