摘要
为解决党校系统缺乏对党务工作数据进行深层分析的功能从而制约了党校教学事业发展的问题,文章对深度学习技术在党校教学和管理工作领域的应用进行了深入探索。文章对党务工作现状进行了分析,对深度学习的概念与相关技术进行了介绍,从需求、数据、技术三个维度对深度学习技术在党校工作中的应用基础进行了说明,文章列举了深度学习技术在党校工作领域的三个应用场景,最后还对应用过程进行了详细阐述。深度学习技术的应用对于提升党校数据利用率、拓展相关功能、合理配置师资资源等方面具有积极的意义。
In order to solve the problem that the party school system lacks the function of in-depth analysis of party affairs work data,which restricts the development of party school teaching,the article explores the application of deep learning technology in the field of party school teaching and management.The article analyzes the current situation of party affairs,introduces the concept of deep learning and related technologies,and explains the application basis of deep learning technology in party school work from the three dimensions of demand,data,and technology.The article lists deep learning Three application scenarios of technology in the field of party school work,and finally the application process is elaborated.The application of deep learning technology has positive significance in improving the utilization of party school data,expanding related functions,and rationally arranging teacher resources.
作者
史转转
周靖博
寇冰
SHI Zhuan-zhuan;ZHOU Jing-bo;KOU bing(Party School of Qiaokou District Committee of Wuhan,Wuhan 430000,China;Xingcheng Special Service Sanatorium of Strategic Support Force,Xingcheng 125105,China)
出处
《电脑知识与技术》
2020年第27期34-36,共3页
Computer Knowledge and Technology
关键词
深度学习
数据挖掘
党校
模型构建
模型训练
deep learning
data mining
party school
model construction
model training
作者简介
史转转(1986-),女,山西汾阳人,讲师,硕士,主要从事习近平新时代中国特色社会主义思想、政治经济学、党规党纪、基层党建等理论研究和教学工作。
