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Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes
In artificial neural networks, learning from data is a computationally demanding task in which a large number of connection weights are iteratively tuned through stochastic-gradient-based heuristic processes over a cost function. It is not well understood how learning occurs in these systems, in par...
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| Publicado no: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5137727/ https://ncbi.nlm.nih.gov/pubmed/27856745 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1608103113 |
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