I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Exploring the Characteristics of Popular Deep Learning GitH..:
, In:
2023 International Conference on Intelligent Computing and Next Generation Networks(ICNGN)
,
Zhou, Yiren
;
Qiao, Yu
;
Xu, Tao
- p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICNGN59831.2023.10396759
RT T1 <cTitle>2023 International Conference on Intelligent Computing and Next Generation Networks(ICNGN)</cTitle>: T1 <Title>Exploring the Characteristics of Popular Deep Learning GitHub Repositories*</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10396759&Exemplar=1&LAN=DE A1 Zhou, Yiren A1 Qiao, Yu A1 Xu, Tao YR 2023 K1 Deep learning K1 Software K1 Artificial intelligence K1 Task analysis K1 Next generation networking K1 Software development management K1 Software engineering K1 Deep Learning Repository K1 Growth Pattern K1 GitHub K1 Empirical Software Engineering SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICNGN59831.2023.10396759 DO https://doi.org/10.1109/ICNGN59831.2023.10396759 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
