Research on deep neural network physical education training model under flipped classroom mode

With the rapid progress and development of network information technology, electronic products such as computers, smart phones, and iPads have gradually become popular among students, bringing people a lot of convenience. This study uses the data of the physical education training process to build a deep neural network prediction model. Firstly, analyze and research the physical education process; Secondly, conduct research on the use of flipped classroom model and deep neural network model; Finally, realize the analysis of targeted physical education and sports training process. The experimental results show that the proposed research has certain practical applicability. It is believed that in the near future, flipped classroom will exist as an important teaching mode of physical education.