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generateSimulink

Class:Autoencoder

Generate a金宝appmodel for the autoencoder

Description

example

generateSimulink(autoenc)creates a Simulink®model for the autoencoder,autoenc.

Input Arguments

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Trained autoencoder, returned as an object of theAutoencoderclass.

Examples

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Load the training data.

X = digitSmallCellArrayData;

The training data is a 1-by-500 cell array, where each cell containing a 28-by-28 matrix representing a synthetic image of a handwritten digit.

Train an autoencoder with a hidden layer containing 25 neurons.

hiddenSize = 25; autoenc = trainAutoencoder(X,hiddenSize,...'L2WeightRegularization',0.004,...“SparsityRegularization”,4,...'SparsityProportion',0.15);

Create a Simulink model for the autoencoder,autoenc.

generateSimulink(autoenc)

Version History

Introduced in R2015b

See Also