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Optimization of Ideological and Political Education Strategies in Colleges and Universities Based on Deep Learning

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成果类型:
期刊论文
作者:
Yao, Yanxia;Xia, Jianwen
通讯作者:
Xia, Jianwen(20192581310124@hainanu.edu.cn)
作者机构:
[Yao, Yanxia; Xia, Jianwen] Hunan City Univ, Sch Marxism, Yiyang 413000, Hunan, Peoples R China.
通讯机构:
[Xia, J.] S
School of Marxism, Hunan, China
语种:
英文
期刊:
Computational Intelligence and Neuroscience
ISSN:
1687-5265
年:
2022
卷:
2022
页码:
4807169
机构署名:
本校为第一机构
院系归属:
马克思主义学院
摘要:
In the current technological world, artificially intelligent deep learning techniques are adapted in many fields. This advanced technology is also used in the field of education. In this study, people will conduct research on the optimization of ideological and political education strategies in colleges and universities based on deep learning. Deep learning is often a machine learning technique that uses artificial neural networks that allow a machine to imitate human behaviour. Ideological and political education deals with the social studies ...

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