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文章基本信息

  • 标题:FPGA-based Hardware Acceleration for SVM Machine Learning Algorithm
  • 本地全文:下载
  • 作者:Jakjoud Fatimazahra ; Hatim Anas ; Abella Bouaaddi
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:229
  • 页码:1024
  • DOI:10.1051/e3sconf/202122901024
  • 出版社:EDP Sciences
  • 摘要:object recognition algorithms are both large consumers of computing power and memory which affects the quality and performance especially when it comes to large image datasets, in this paper we propose an algorithm for fruit/plant recognition that we will accelerate it using the PYNQ Board to evaluate the execution time and the accuracy of the classifier.
  • 其他摘要:object recognition algorithms are both large consumers of computing power and memory which affects the quality and performance especially when it comes to large image datasets, in this paper we propose an algorithm for fruit/plant recognition that we will accelerate it using the PYNQ Board to evaluate the execution time and the accuracy of the classifier.
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