文章基本信息

标题：A lightweight CNN model and its application in intelligent practical teaching evaluation
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作者：Yi He ; Tianli Li
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2020
卷号：309
页码：1-5
DOI：10.1051/matecconf/202030905016
语种：English
出版社：EDP Sciences
摘要：In this paper, we propose a lightweight CNN model. Firstly, we standardize the existing CNN model structure based on the minimum computing unit, and second we apply a parameter control solution to solve the problem of parameter redundancy in the model. At last we build a lightweight nonaligned CNN model. The experimental results show that the model parameters can be reduced by more than 50% when the test error is almost the same. Through deep learning, the proposed model is applied to the practical teaching system to achieve the intelligent evaluation effect of the practical teaching process, while improve the quality and efficiency of teaching.
关键词：Keywords:enCNNLightweightParameter redundancyPractical teachingIntelligent evaluation