AUTHOR=Wu Chao , Liu Ge 

TITLE=Analysis of physical education based on deep learning on college students’ mental health and social adaptability

JOURNAL=Frontiers in Psychology

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.963155

DOI=10.3389/fpsyg.2022.963155

ISSN=1664-1078

ABSTRACT=With the development of learning abroad, deep learning used research fields. On the basis of deep learning, this paper studies by physical education. Firstly, this paper analyzes and explains the related concepts and current situation of physical education, and explains the measurement and definition of mental health. Then, the function analysis algorithm of deep learning of deep learning are explained and analyzed, in which the algorithm of convolution neural network of deep learning is mainly described. Finally, through experimental analysis, it shows that the research performance of deep learning in physical education on college students' mental health is relatively high. At the same time, through investigation and analysis, it is proposed that physical education in deep learning can improve mental health and social adaptability relatively high. And the content of physical education should focus on increasing physical psychological education and physical practice education, which can improve college students' mental health and social adaptability compared with other teaching contents. Therefore, when introducing deep learning, universities should strengthen the physical education of college students.