LeNet‐5 improvement based on FPGA acceleration
Author:
Affiliation:
1. School of Computer Engineering in Bengbu CollegeBengbuPeople's Republic of China
2. School of Electronics and Electrical Engineering in Bengbu CollegeBengbuPeople's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
General Engineering,Energy Engineering and Power Technology,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2019.1190
Reference11 articles.
1. JinS. DiS. LiangX.et al.: ‘DeepSZ: A novel framework to compress deep neural networks by using error‐bounded lossy compression’.HPDC'19: The 28th Int. ACM Symp. on High‐Performance Parallel and Distributed Computing Phoenix AZ USA 2019 pp.159–170
2. MartinC.H. MahoneyM.W.: ‘Traditional and heavy‐tailed self regularization in neural network models’ 2019 pp.26–37
3. The network architecture of the data‐processing system for the photodetector of an orbital detector of ultra‐high energy cosmic rays;Belov A.A.;Instrum. Exp. Tech.,2018
4. ZhangJ. LiJ.: ‘Improving the performance of OpenCL‐based FPGA accelerator for convolutional neural network’.Acm/sigda Int. Symp. on Field‐programmable Gate Arrays Monterey CA USA 2017 pp.25–34
5. LiY. YuanY.: ‘Convergence analysis of two‐layer neural networks with ReLU activation’ 2017 pp.65–70
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Automated fault diagnosis of rotating machinery using sub domain greedy Network Architecture search;Advanced Engineering Informatics;2024-10
2. FPGA based Flexible Implementation of Light Weight Inference on Deep Convolutional Neural Networks;The International Arab Journal of Information Technology;2024
3. Hardware designs for convolutional neural networks: Memoryful, memoryless and cached;Integration;2024-01
4. Low-Latency LeNet-5 Architecture for Handwritten Digit Recognition;2023 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia);2023-10-23
5. Implementation and Optimization of LeNet-5 Model for Handwritten Digits Recognition on FPGAs using Brevitas and FINN;2023 Innovations in Intelligent Systems and Applications Conference (ASYU);2023-10-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3