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Deep convolutional neural network based on densely connected squeeze-and-excitation blocks
Author(s) -
Yu Wu
Publication year - 2019
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.5100577
Subject(s) - computer science , convolutional neural network , residual , artificial intelligence , artificial neural network , network structure , excitation , pattern recognition (psychology) , algorithm , machine learning , engineering , electrical engineering

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