Open AccessWide Residual Networks
Author(s) -
Sergey Zagoruyko,
Nikos Komodakis
Publication year - 2016
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.5244/c.30.87
Subject(s) - residual , computer science , residual neural network , deep learning , reuse , artificial intelligence , feature (linguistics) , layer (electronics) , network architecture , architecture , machine learning , algorithm , computer network , engineering , linguistics , philosophy , chemistry , organic chemistry , waste management , art , visual arts
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