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Learning in the Machine: Recirculation is Random Backpropagation
Learning in physical neural systems must rely on learning rules that are local in both space and time. Optimal learning in deep neural architectures requires that non-local information be available to the deep synapses. Thus, in general, optimal learning in physical neural systems requires the prese...
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| Publicado no: | Neural Netw |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6246787/ https://ncbi.nlm.nih.gov/pubmed/30317133 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neunet.2018.09.006 |
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