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文件名称:DeeBNetV2.2
介绍说明--下载内容来自于网络,使用问题请自行百度
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/
DeeBNetV2.2/+ISOLET/
DeeBNetV2.2/+ISOLET/prepareISOLET.m
DeeBNetV2.2/+MNIST/
DeeBNetV2.2/+MNIST/mnist_small.mat
DeeBNetV2.2/+MNIST/prepareMNIST.m
DeeBNetV2.2/+MNIST/prepareMNIST_Small.m
DeeBNetV2.2/+TwentyNewsgroups/
DeeBNetV2.2/+TwentyNewsgroups/prepare20Newsgroups.m
DeeBNetV2.2/DeeBNet/
DeeBNetV2.2/DeeBNet/+DataClasses/
DeeBNetV2.2/DeeBNet/+DataClasses/DataStore.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/
DeeBNetV2.2/DeeBNet/+SamplingClasses/Cd.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/FEPcd.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/freeEnergy.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/Gibbs.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/Pcd.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/Sampling.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/SamplingMethodType.m
DeeBNetV2.2/DeeBNet/DBN.m
DeeBNetV2.2/DeeBNet/DiscriminativeRBM.m
DeeBNetV2.2/DeeBNet/GenerativeRBM.m
DeeBNetV2.2/DeeBNet/RBM.m
DeeBNetV2.2/DeeBNet/RbmParameters.m
DeeBNetV2.2/DeeBNet/RbmType.m
DeeBNetV2.2/DeeBNet/SparseDiscriminativeRBM.m
DeeBNetV2.2/DeeBNet/SparseGenerativeRBM.m
DeeBNetV2.2/DeeBNet/SparseRBM.m
DeeBNetV2.2/DeeBNet/ValueType.m
DeeBNetV2.2/ReadMe.txt
DeeBNetV2.2/test_classification20Newsgroups.m
DeeBNetV2.2/test_classificationISOLET.m
DeeBNetV2.2/test_classificationMNIST.m
DeeBNetV2.2/test_classificationMNIST_usingGPU.m
DeeBNetV2.2/test_generateClassMNIST.m
DeeBNetV2.2/test_generateDataMNIST.m
DeeBNetV2.2/test_getFeature20Newsgroups.m
DeeBNetV2.2/test_getFeatureISOLET.m
DeeBNetV2.2/test_getFeatureMNIST.m
DeeBNetV2.2/test_getFeatureMNIST_usingGPU.m
DeeBNetV2.2/test_plotDataMNIST.m
DeeBNetV2.2/test_reconstructDataMNIST.m
DeeBNetV2.2/test_reconstructDataMNIST2.m
DeeBNetV2.2/test_sparsityAndBasesFunctionMNIST.m
DeeBNetV2.2/+ISOLET/
DeeBNetV2.2/+ISOLET/prepareISOLET.m
DeeBNetV2.2/+MNIST/
DeeBNetV2.2/+MNIST/mnist_small.mat
DeeBNetV2.2/+MNIST/prepareMNIST.m
DeeBNetV2.2/+MNIST/prepareMNIST_Small.m
DeeBNetV2.2/+TwentyNewsgroups/
DeeBNetV2.2/+TwentyNewsgroups/prepare20Newsgroups.m
DeeBNetV2.2/DeeBNet/
DeeBNetV2.2/DeeBNet/+DataClasses/
DeeBNetV2.2/DeeBNet/+DataClasses/DataStore.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/
DeeBNetV2.2/DeeBNet/+SamplingClasses/Cd.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/FEPcd.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/freeEnergy.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/Gibbs.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/Pcd.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/Sampling.m
DeeBNetV2.2/DeeBNet/+SamplingClasses/SamplingMethodType.m
DeeBNetV2.2/DeeBNet/DBN.m
DeeBNetV2.2/DeeBNet/DiscriminativeRBM.m
DeeBNetV2.2/DeeBNet/GenerativeRBM.m
DeeBNetV2.2/DeeBNet/RBM.m
DeeBNetV2.2/DeeBNet/RbmParameters.m
DeeBNetV2.2/DeeBNet/RbmType.m
DeeBNetV2.2/DeeBNet/SparseDiscriminativeRBM.m
DeeBNetV2.2/DeeBNet/SparseGenerativeRBM.m
DeeBNetV2.2/DeeBNet/SparseRBM.m
DeeBNetV2.2/DeeBNet/ValueType.m
DeeBNetV2.2/ReadMe.txt
DeeBNetV2.2/test_classification20Newsgroups.m
DeeBNetV2.2/test_classificationISOLET.m
DeeBNetV2.2/test_classificationMNIST.m
DeeBNetV2.2/test_classificationMNIST_usingGPU.m
DeeBNetV2.2/test_generateClassMNIST.m
DeeBNetV2.2/test_generateDataMNIST.m
DeeBNetV2.2/test_getFeature20Newsgroups.m
DeeBNetV2.2/test_getFeatureISOLET.m
DeeBNetV2.2/test_getFeatureMNIST.m
DeeBNetV2.2/test_getFeatureMNIST_usingGPU.m
DeeBNetV2.2/test_plotDataMNIST.m
DeeBNetV2.2/test_reconstructDataMNIST.m
DeeBNetV2.2/test_reconstructDataMNIST2.m
DeeBNetV2.2/test_sparsityAndBasesFunctionMNIST.m
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