深度学习在嵌入式设备上的应用综述

Summary of the Application of Deep Learning in Embedded Devices

鉴于深度学习在学术和工业领域的重要研究和应用,对目前深度学习在嵌入式系统上的应用进行详细的介绍,概述了深度学习在嵌入式设备上的研究现状,综述了深度学习的发展方向。首先介绍了嵌入式系统的研究背景与现状。其次简要概述了深度学习的几种典型结构模型,在此基础上详细综述了深度学习在嵌入式设备上的应用,最后进行了分析与总结,指出了深度学习在嵌入式设备上仍需要解决的问题及未来的研究方向。

In view of the important research and application of deep learning in academic and industrial fields, a detailed introduction to the current application of deep learning in embedded systems is given. The research status of deep learning in embedded devices is summarized, and the development direction of deep learning is summarized. First the research background and status quo of embedded systems is introduced. Secondly, several typical structural models of deep learning are briefly summarized. Based on this, the application of deep learning in embedded devices is summarized in detail. Finally, the analysis and conclusion are given. It is pointed out that deep learning still needs to be solved in embedded devices. Problems and future research directions.