www.gusucode.com > nnet 案例源码 matlab代码程序 > nnet/ViewAutoencoderExample.m
%% View Autoencoder % Load the training data. % Copyright 2015 The MathWorks, Inc. X = iris_dataset; %% % Train an autoencoder with a hidden layer of size 5 and a linear transfer % function for the decoder. Set the L2 weight regularizer to 0.001, % sparsity regularizer to 4 and sparsity proportion to 0.05. hiddenSize = 5; autoenc = trainAutoencoder(X, hiddenSize, ... 'L2WeightRegularization',0.001, ... 'SparsityRegularization',4, ... 'SparsityProportion',0.05, ... 'DecoderTransferFunction','purelin'); %% % View the autoencoder. view(autoenc)