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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...
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| Gepubliceerd in: | Front Comput Neurosci |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Media S.A.
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6333865/ https://ncbi.nlm.nih.gov/pubmed/30687053 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2018.00100 |
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