Reference : Training very deep neural networks: Rethinking the role of skip connections
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/47494
Training very deep neural networks: Rethinking the role of skip connections
English
Oyedotun, Oyebade mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2 >]
Al Ismaeil, Kassem mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2 >]
Aouada, Djamila mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2 >]
21-Jun-2021
Neurocomputing
Elsevier
Yes
0925-2312
Amsterdam
Netherlands
[en] Deep neural network ; Residual learning ; Skip connection ; Optimization
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Fonds National de la Recherche - FnR
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/47494
10.1016/j.neucom.2021.02.004
FnR ; FNR11295431 > Oyebade Oyedotun > AVR > Automatic Feature Selection For Visual Recognition > 01/02/2017 > 31/01/2021 > 2016

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