Description
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.
Technical Details
| Framework | MITRE D3FEND |
| Ontology URI | d3f:Autoencoding |
| Local Identifier | Autoencoding |
| Publication Status | Exists in ontology only |