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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

Functions

`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万博1manbetxmodel 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
`堆栈`	Stack encoders from several autoencoders together
`view`	View autoencoder

Topics

Train Stacked Autoencoders for Image Classification
This example shows how to train stacked autoencoders to classify images of digits.