A Manifold Learning Perspective on Representation Learning: Learning Decoder and Representations without an Encoder
Autoencoders are commonly used in representation learning. They consist of an encoder and a decoder, which provide a straightforward method to map <i>n</i>-dimensional data in input space to a lower <i>m</i>-dimensional representation space and back. The decoder itself define...
Guardado en:
Autores principales: | , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d20c216f39bc4836996f2afcc9ba9edc |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|