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
Images Classification of Dogs and Cats using Fine-Tuned VGG..:
, In:
2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)
,
Mahardi
;
Wang, I-Hung
;
Lee, Kuang-Chyi
. - p. 230-233 , 2020
Link:
https://doi.org/10.1109/ECICE50847.2020.9301918
RT T1
2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)
: T1
Images Classification of Dogs and Cats using Fine-Tuned VGG Models
UL https://suche.suub.uni-bremen.de/peid=ieee-9301918&Exemplar=1&LAN=DE A1 Mahardi A1 Wang, I-Hung A1 Lee, Kuang-Chyi A1 Chang, Shinn-Liang YR 2020 K1 Cats K1 Dogs K1 Training K1 Data models K1 Training data K1 Deep learning K1 Image classification K1 image classification K1 deep learning K1 Keras K1 VGG SP 230 OP 233 LK http://dx.doi.org/https://doi.org/10.1109/ECICE50847.2020.9301918 DO https://doi.org/10.1109/ECICE50847.2020.9301918 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)