A Hardware-Friendly High-Precision CNN Pruning Method and Its FPGA Implementation

A Hardware-Friendly High-Precision CNN Pruning Method and Its FPGA Implementation

To address the problems of large storage requirements, computational pressure, untimely data supply of off-chip memory, and low computational efficiency during hardware deployment due to the large number of convolutional neural network (CNN) parameters, we developed an innovative hardware-friendly C...

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Bibliographic Details
Main Authors: Xuefu Sui, Qunbo Lv, Liangjie Zhi, Baoyu Zhu, Yuanbo Yang, Yu Zhang, Zheng Tan
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
convolutional neural networks
hardware friendly
network compression
regular pruning
LR tracking
high parallelism
Online Access:https://www.mdpi.com/1424-8220/23/2/824

Internet

https://www.mdpi.com/1424-8220/23/2/824

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