基于iOS平台Core ML端智能应用研究

Research of On-Device Machine Learning Based on Core ML of iOS Platform

端智能因其模型在设备端训练与运行,相对云端智能具有更好的隐私性与实时性,同时它可以根据用户的操作行为与使用习惯进行个性化、动态的调整.基于Core ML机器学习框架,通过3个不同的iOS案例分析了Core ML的主要功能,通过图片分类App的开发过程阐述了基于Core ML端智能应用的实现,为端智能在工程实践中的应用提供参考依据.

On-Device Machine Learning provides superior privacy and real-time performance than cloud intelligence since the model is trained and used on the device.It can make customized and dynamic modifications based on the user's operation behavior and use patterns simultaneously.Based on Core ML machine learning framework,this paper illustrates the main functions of Core ML through three iOS Apps.It demonstrates the implementation of intelligent applications based on Core ML through the development process of an image classification App.It provides a reference for the application of On-Device Machine Learning in engineering practice.