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Bio-inspired Analysis of Deep Learning on Not-So-Big Data Using Data-Prototypes
Deep artificial neural networks are feed-forward architectures capable of very impressive performances in diverse domains. Indeed stacking multiple layers allows a hierarchical composition of local functions, providing efficient compact mappings. Compared to the brain, however, such architectures ar...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333865/ https://www.ncbi.nlm.nih.gov/pubmed/30687053 http://dx.doi.org/10.3389/fncom.2018.00100 |