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view

Class: Autoencoder

View autoencoder

Description

example

view(autoenc) returns a diagram of the autoencoder, autoenc.

Input Arguments

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Trained autoencoder, returned as an object of the Autoencoder class.

Examples

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Load the training data.

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');

Figure Neural Network Training (19-Aug-2023 11:46:33) contains an object of type uigridlayout.

View the autoencoder.

view(autoenc)

Version History

Introduced in R2015b