University online teaching resource sharing open platform based on deep learning

被引:0
|
作者
Ding, Liangxi [1 ]
机构
[1] Nanchang Inst Technol, Intelligent Educ Ind Res Inst, Nanchang 330044, Peoples R China
关键词
deep learning; application module; database module; database retrieval function module; softmax regression;
D O I
10.1504/IJCEELL.2024.139930
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Aiming at the problems of high energy consumption, low classification accuracy of shared data and poor sharing effect of open network teaching resource sharing platform, an open network teaching resource sharing platform based on deep learning is designed. First, the application module, database module, and database retrieval function module are setup on the platform. Then, online teaching resources are classified in colleges and universities by using deep learning algorithms, and the characteristics of online teaching resources in colleges and universities are determined. Finally, an open platform for sharing online teaching resources in colleges and universities is built. The experimental results show that the platform designed in this paper has low energy consumption, which is always lower than 20 j, and the data classification accuracy of shared online teaching resources is always higher than 90%, which can effectively improve the sharing effect of online teaching resources in colleges and universities, and has good practical application performance.
引用
收藏
页码:299 / 313
页数:16
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