Analysis of Practical Training Characteristics and Teaching System Reform Path of College Physical Education Curriculum Based on Deep Learning

Abstract

With the growth of the new international alignment, the establishment of multifunctional and applied universities and the training of high-quality talents have become the key tasks of all colleges and universities. With the encouragement of national policies, college physical education has gradually become one of the key subjects for students. As a novel way of pursuing learning goals, deep learning includes high-level and high-stage cognitive management strength or innovative thinking strength. With the background about the widely respected teaching about school sports education of deep learning mode, this article puts forward the analysis of practical training characteristics and educational system reform path of college physical education based on deep learning. The results of the experiment are as follows: (1) this article discusses principles and ideas of the immediate in-depth learning mode and the vacancies in the current college physical education curriculum practical teaching system, determines the research direction of the experiment, and analyzes the characteristics of school physical education practical training as well as the innovation path of the teaching system based on the in-depth learning mode, which provides a technical guarantee for the research of this article; (2) using deep learning algorithm, neural network decomposition method, and recurrent neural network algorithm, the investigation content is identified, analyzed, and calculated through experiments, which is not enough to effectively and accurately analyze the root cause of the problem; it also optimizes and improves according to specific problems, reducing unnecessary research work and time consumption.