Bio-inspired Analysis of Deep Learning on Not-So-Big Data Using Data-Prototypes
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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 t... ...