Deep learning DBN (Convinced of the network) code generation probability model, and neural network models of traditional discrimination relatively generated model is to establish a joint distribution of observed data and tags.

DBNtoolbox-master
.................\.gitattributes
.................\.gitignore
.................\AdaBoost.m
.................\Autoencoder.m
.................\Autoencoder_v2.m
.................\CNN.m
.................\CRBM.m
.................\Classifier.m
.................\Config.m
.................\ConvAutoencoder.m
.................\DataLoader.m
.................\DataProcessor.m
.................\DeepBeliefNetwork.m
.................\Evaluation.m
.................\FeatureSelector.m
.................\GroupSparsity.m
.................\KNN.m
.................\Kmeans.m
.................\LCN.m
.................\Learner.m
.................\LinearRegression.m
.................\NetworkLayer.m
.................\NeuralNetwork.m
.................\Optimizer.m
.................\Pooling.m
.................\Pooling2D.m
.................\RBM.m
.................\SGD.m
.................\SVM.m
.................\Softmax.m
.................\SparseFiltering.m
.................\SqueezeOutput.m
.................\Utils.m
.................\Visualizer.m

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