Autoencoders

Perform unsupervised learning of features using autoencoder neural networks

If you have unlabeled data, perform unsupervised learning with autoencoder neural networks for feature extraction.

Classes

Autoencoder Autoencoder class

`trainAutoencoder`	Train an autoencoder
`trainSoftmaxLayer`	Train a softmax layer for classification

`decode`	Decode encoded data
`encode`	Encode input data
`generateFunction`	Generate a MATLAB function to run the autoencoder
`generateSimulink`	Generate a Simulink model for the autoencoder
`network`	Convert `Autoencoder` object into `network` object
`plotWeights`	Plot a visualization of the weights for the encoder of an autoencoder
`predict`	Reconstruct the inputs using trained autoencoder
`stack`	Stack encoders from several autoencoders together
`view`	View autoencoder

This example shows how to train stacked autoencoders to classify images of digits.