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Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Deep convolutional neural networks (DCNNs) have attracted much attention recently, and have shown to be able to recognize thousands of object categories in natural image databases. Their architecture is somewhat similar to that of the human visual system: both use restricted receptive fields, and a...
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Publicado no: | Sci Rep |
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Main Authors: | , , , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Nature Publishing Group
2016
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5013454/ https://ncbi.nlm.nih.gov/pubmed/27601096 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep32672 |
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