Structured Pruning of Convolutional Neural Networks via L1 Regularization

Structured Pruning of Convolutional Neural Networks via L1 Regularization

Deep learning architecture has achieved amazing success in many areas with the recent advancements in convolutional neural networks (CNNs). However, real-time applications of CNNs are seriously hindered by the significant storage and computational costs. Structured pruning is a promising method to c...

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Bibliographic Details
Main Authors: Chen Yang, Zhenghong Yang, Abdul Mateen Khattak, Liu Yang, Wenxin Zhang, Wanlin Gao, Minjuan Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
regularization
structured pruning
Online Access:https://ieeexplore.ieee.org/document/8787574/

Internet

https://ieeexplore.ieee.org/document/8787574/

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