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
A Discover of Class and Image Level Variance Between Differ..:
, In:
2020 IEEE International Conference on Smart Internet of Things (SmartIoT)
,
Gao, Shihong
- p. 176-182 , 2020
Link:
https://doi.org/10.1109/SmartIoT49966.2020.00034
RT T1 <cTitle>2020 IEEE International Conference on Smart Internet of Things (SmartIoT)</cTitle>: T1 <Title>A Discover of Class and Image Level Variance Between Different Pruning Methods on Convolutional Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9191999&Exemplar=1&LAN=DE A1 Gao, Shihong YR 2020 K1 Iterative methods K1 Task analysis K1 Biological neural networks K1 Predictive models K1 Convolutional neural networks K1 Computational modeling K1 neural network K1 pruning K1 fairness SP 176 OP 182 LK http://dx.doi.org/https://doi.org/10.1109/SmartIoT49966.2020.00034 DO https://doi.org/10.1109/SmartIoT49966.2020.00034 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
