Cargando…
Deep Learning With Asymmetric Connections and Hebbian Updates
We show that deep networks can be trained using Hebbian updates yielding similar performance to ordinary back-propagation on challenging image datasets. To overcome the unrealistic symmetry in connections between layers, implicit in back-propagation, the feedback weights are separate from the feedfo...
| Autor principal: | |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458299/ https://www.ncbi.nlm.nih.gov/pubmed/31019458 http://dx.doi.org/10.3389/fncom.2019.00018 |