基于深度学习的图像识别技术在电子信息系统中的应用

Application of image recognition technology based on deep learning in electronic information system

随着科技的飞速发展,深度学习技术在图像识别领域取得了巨大的成功。文章将深入研究基于深度学习的图像识别技术在电子信息系统中的应用。首先,介绍了深度学习的基本原理和发展历程。其次,探讨了深度学习在电子信息系统中的各种应用场景,包括智能监控、人脸识别、医学影像分析及工业质检。同时,分析了深度学习技术在这些应用场景中的优势和面临的挑战。

With the rapid development of science and technology,deep learning technology has achieved great success in the field of image recognition.This paper will deeply study the application of image recognition technology based on deep learning in electronic information system.First,the basic principles and development of deep learning are introduced.Secondly,various application scenarios of deep learning in electronic information systems are discussed,including intelligent monitoring,face recognition,medical image analysis and industrial quality inspection.At the same time,the advantages and challenges of deep learning technology in these application scenarios are analyzed.