Plot a visualization of the weights for the encoder of an autoencoder
h— Image object
Image object, returned as a handle.
Load the training data.
X = digitTrainCellArrayData;
The training data is a 1-by-5000 cell array, where each cell contains a 28-by-28 matrix representing a synthetic image of a handwritten digit.
Train an autoencoder with a hidden layer of 25 neurons.
hiddenSize = 25; autoenc = trainAutoencoder(X,hiddenSize, ... 'L2WeightRegularization',0.004, ... 'SparsityRegularization',4, ... 'SparsityProportion',0.2);
Visualize the learned features.
plotWeights allows the visualization
of the features that the autoencoder learns. Use it when the autoencoder
is trained on image data. The visualization of the weights has the
same dimensions as the images used for training.