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
An Incremental Pruning Strategy for Fast Training of CNN Mo..:
, In:
2020 International Conference on Computational Performance Evaluation (ComPE)
,
Sarkar, Sangeeta
;
Agarwalla, Meenakshi
;
Agarwal, Sumit
. - p. 371-375 , 2020
Link:
https://doi.org/10.1109/ComPE49325.2020.9200168
RT T1 <cTitle>2020 International Conference on Computational Performance Evaluation (ComPE)</cTitle>: T1 <Title>An Incremental Pruning Strategy for Fast Training of CNN Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9200168&Exemplar=1&LAN=DE A1 Sarkar, Sangeeta A1 Agarwalla, Meenakshi A1 Agarwal, Sumit A1 Sarma, Manash Pratim YR 2020 K1 Training K1 Computational modeling K1 Adaptation models K1 Testing K1 Biological neural networks K1 Quantization (signal) K1 CNN K1 Pruning K1 Pre-training K1 Sparse Network K1 Compression SP 371 OP 375 LK http://dx.doi.org/https://doi.org/10.1109/ComPE49325.2020.9200168 DO https://doi.org/10.1109/ComPE49325.2020.9200168 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
