www.gusucode.com > nnet 案例源码 matlab代码程序 > nnet/VisualizeLearnedFeaturesExample.m
%% Visualize Learned Features % Load the training data. X = digitTrainCellArrayData; %% % The training data is a 1-by-5003 cell array, where each cell contains a % 28-by-28 matrix representing a synthetic image of a handwritten digit. %% % Train an autoencoder with a hidden layer of 25 neurons. hiddenSize = 25; autoenc = trainAutoencoder(X,hiddenSize, ... 'L2WeightRegularization',0.004, ... 'SparsityRegularization',4, ... 'SparsityProportion',0.2); %% % Visualize the learned features. plotWeights(autoenc);