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Learning Without Feedback: Fixed Random Learning Signals Allow for Feedforward Training of Deep Neural Networks
While the backpropagation of error algorithm enables deep neural network training, it implies (i) bidirectional synaptic weight transport and (ii) update locking until the forward and backward passes are completed. Not only do these constraints preclude biological plausibility, but they also hinder...
| 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/PMC7902857/ https://www.ncbi.nlm.nih.gov/pubmed/33642986 http://dx.doi.org/10.3389/fnins.2021.629892 |