An Energy-Efficient Implementation of Group Pruned CNNs on FPGA

An Energy-Efficient Implementation of Group Pruned CNNs on FPGA

In recent years, convolutional neural network (CNN)-based artificial intelligence algorithms have been widely applied to object recognition and image classification tasks. However, the high performance of convolutional neural networks comes at the cost of high-intensity computing and enormous number...

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Bibliographic Details
Main Authors: Wei Pang, Chenglu Wu, Shengli Lu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Neural network hardware
accelerator architectures
compression algorithms
field programmable gate arrays
Online Access:https://ieeexplore.ieee.org/document/9274325/

Internet

https://ieeexplore.ieee.org/document/9274325/

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