数码设计Issue(5)：31-33,3.
机器学习与深度学习在边缘计算机器视觉系统中的应用
Machine Learning and Deep Learning in Edge Computing Machine Vision Systems
摘要
Abstract
The purpose of this paper is to explore the application of machine learning and deep learning in the edge computing machine vision system.First,machine learning algorithms play an important role in this system,including target detection and recognition,image segmentation and semantic analysis.Secondly,deep learning algorithms also play an important role in the edge machine vision system.Finally,optimization methods for edge machine vision systems include model compression and acceleration,distributed learning and migration learning.关键词
机器学习/深度学习/边缘计算/机器视觉系统Key words
machine learning/deep learning/edge computing/machine vision system分类
信息技术与安全科学引用本文复制引用
姚彬,李和芮,李文战,袁龙..机器学习与深度学习在边缘计算机器视觉系统中的应用[J].数码设计,2024,(5):31-33,3.基金项目
2023年度广西烟草公司百色市公司科技项目课题"融合物联网的智能AI视觉中枢安全作业监测防控系统研究"(项目编号:BSKY2023-2). （项目编号:BSKY2023-2）
