深度学习应用于移动设备的文献综述

A Review of Deep Learning on Mobile Devices

近几年随着计算机硬件快速的发展,以及计算机计算能力的大幅度提升,针对深度学习的研究也越演愈烈。考虑到深度学习对强大的计算资源和大量训练数据的可用性的依赖,它在PC端的应用上最为广泛。但近几年移动设备几乎渗透到我们生活的各个方面,对具有深度学习能力的智能应用的需求也越来越多。针对深度学习在移动设备上的应用已成为一种必然趋势,为了了解当前深度学习在移动设备上的应用方向,这篇文章借助CiteSpace科学可视化工具对移动深度学习相关论文进行关键词共现和聚类分析,得出深度学习在移动端的应用方向,以及移动深度学习应用的解决方案。

In recent years,with the rapid development of computer hardware and the substantial improvement of computer computing power,research on deep learning has also intensified.Considering the dependence of deep learning on powerful computing resources and the availability of large amounts of training data,it is most widely used on PC devices.But in recent years,mobile devices have penetrated into almost every aspect of our lives,and there is an increasing demand for intelligent applications with deep learning capabilities.The application of deep learning on mobile devices has become an inevitable trend.In order to understand the current application direction of deep learning on mobile devices,this article uses the CiteSpace scientific visualization tool to conduct keyword co-occurrence and aggregation of mobile deep learning related papers.Class analysis,get the application direction of deep learning on the mobile terminal,and the solution of mobile deep learning application.