摘要
文章旨在梳理当前人工智能主流算法脉络,简析其原理及应用场景,帮助人们更加理性深入地对人工智能技术有一个比较全面的理解和思考。文章在对人工智能技术背后数学理论及实际应用的分析基础上,对机器学习算法主要任务、深度学习发展动因、深度学习算法应用进行梳理和分析,提取出人工智能算法主要能够完成的三类任务,并在技术层面针对人工智能下一步发展做出了分析和展望。
This paper aims to sort out the main Artifcial Intelligence algorithms, analyze its theories and application scenarios briefy, to help people better understand the technologies of AI. Based on the analysis of AI technology mathematically and practically, this paper sorts out the main machine learning tasks, applications and theories of deep learning algorithms, and analyzes the motivation of deep learning technologies. Three main tasks are extracted, and predictions of the future development of AI from the technical aspect are conducted.
出处
《信息通信技术》
2018年第1期63-68,共6页
Information and communications Technologies
关键词
人工智能
机器学习
深度学习
回归
分类
聚类
Artifcial Intelligence
Machine Learning
Deep Learning
Regression
Classifcation
Clustering