文件名称:DBNtoolbox-master
介绍说明－－下载内容均来自于网络，请自行研究使用
深度学习DBN（深信度网络）代码，概率生成模型，与传统的判别模型的神经网络相对，生成模型是建立一个观察数据和标签之间的联合分布。-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.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
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