Autoencoders - MATLAB & Simulink (original) (raw)
Main Content
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
Functions
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.