Autoencoding

Autoencoders are specific type of deep learning architecture used for learning representation of data, typically for the purpose of dimensionality reduction. This is achieved by designing deep learning architecture that aims that copying input layer at its output layer.

References

SOCR. (n.d.). ABIDE Autoencoder. Link