Improved Highway Network Block for Training Very Deep Neural Networks

Reference : Improved Highway Network Block for Training Very Deep Neural Networks


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/44462

Title :	Improved Highway Network Block for Training Very Deep Neural Networks
Language :	English
Author, co-author :	Oyedotun, Oyebade [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2 >]
	Shabayek, Abd El Rahman [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2 >]
	Aouada, Djamila [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2 >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Oct-2020
Journal title :	IEEE Access
Publisher :	IEEE
Peer reviewed :	Yes
e-ISSN :	2169-3536
Country :	United States
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Funders :	Fonds National de la Recherche - FnR
Permalink :	http://hdl.handle.net/10993/44462
FnR project :	FnR ; FNR11295431 > Oyebade Oyedotun > > Automatic Feature Selection for Visual Recognition > 01/02/2017 > 31/01/2021 > 2016

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	File	Commentary	Version	Size	Access
Open access	OyebadeShabayekAouadaOttersten_IEEE Access.pdf		Author preprint	3.78 MB	View/Open

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