generateSimulink
Class: Autoencoder
Generate a Simulink model for the autoencoder
Input Arguments
autoenc
— Trained autoencoder
Autoencoder
object
Trained autoencoder, returned as an object of the Autoencoder
class.
Examples
Generate Simulink Model for Autoencoder
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
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