Evolutionary Multi-Objective One-Shot Filter Pruning for Designing Lightweight Convolutional Neural Network

Deep neural networks have achieved significant development and wide applications for their amazing performance. However, their complex structure, high computation and storage resource limit their applications in mobile or embedding devices such as sensor platforms. Neural network pruning is an effic...

Celý popis

Podrobná bibliografia

Vydané v:	Sensors (Basel, Switzerland) Ročník 21; číslo 17; s. 5901
Hlavní autori:	Wu, Tao, Shi, Jiao, Zhou, Deyun, Zheng, Xiaolong, Li, Na
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 02.09.2021 MDPI
Predmet:	Accuracy Algorithms convolutional neural network Datasets evolutionary multi-objective algorithm filter pruning lightweight model Methods Natural language processing Neural networks Optimization
ISSN:	1424-8220, 1424-8220
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!