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Class: Autoencoder
Generate a Simulink model for the autoencoder
generateSimulink(autoenc)
example
generateSimulink(autoenc) creates a Simulink® model for the autoencoder, autoenc.
autoenc
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Autoencoder
Trained autoencoder, returned as an object of the Autoencoder class.
Load the training data.
X = digitsmall_dataset;
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.
trainAutoencoder
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