Computer Physical Education Teaching Model Based on Deep Learning

Due to the strong practicality of physical education (PE) course, few schools link this course with computer technology, which leads to the teaching of PE course still staying in the stage of teacher’s indoctrination. In this article, a recommendation model of computer PE instructional resources based on deep learning (DL) is proposed. In order to realize the perfect combination of computer technology and PE curriculum, it is necessary to strengthen the improvement of computer hardware equipment in universities. The stage of model construction includes learner feature analysis, learner data collection and learner feature representation. This model provides a basis for realizing individualized recommendation technology of instructional resources. The recommendation system mainly obtains the feature representation of users and projects by analyzing and mining users’ historical behaviors and personal information, and models them at the same time. The service personalization degree of this model is effectively improved, and the differences and individualized needs between learners are more accurately grasped, which is conducive to improving learners’ learning experience and motivation.