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Layer-Skipping Connections Improve the Effectiveness of Equilibrium Propagation on Layered Networks
Equilibrium propagation is a learning framework that marks a step forward in the search for a biologically-plausible implementation of deep learning, and could be implemented efficiently in neuromorphic hardware. Previous applications of this framework to layered networks encountered a vanishing gra...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165608/ https://www.ncbi.nlm.nih.gov/pubmed/34079446 http://dx.doi.org/10.3389/fncom.2021.627357 |