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