An efficient pruning scheme of deep neural networks for Internet of Things applications

An efficient pruning scheme of deep neural networks for Internet of Things applications

Abstract Nowadays, deep neural networks (DNNs) have been rapidly deployed to realize a number of functionalities like sensing, imaging, classification, recognition, etc. However, the computational-intensive requirement of DNNs makes it difficult to be applicable for resource-limited Internet of Thin...

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Bibliographic Details
Main Authors: Chen Qi, Shibo Shen, Rongpeng Li, Zhifeng Zhao, Qing Liu, Jing Liang, Honggang Zhang
Format: Article
Language:English
Published: SpringerOpen 2021-06-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Deep neural networks
Deep learning
Internet of Things
Resource-limited edge computing
Pruning
Efficiency
Online Access:https://doi.org/10.1186/s13634-021-00744-4

Internet

https://doi.org/10.1186/s13634-021-00744-4

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