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Published in 2019 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2018.00100
Abstract: 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,…
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Keywords:
big data;
learning;
bio inspired;
deep learning ... See more keywords