Machine Learning and Deep Learning in Edge Computing Machine Vision Systems
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.
machine learningdeep learningedge computingmachine vision system
国家科技期刊平台
NSTL
万方数据
