Abstract

The successful physical education teaching mode is a new teaching mode used in physical under the traditional physical education teaching mode, which is formed and developed from the teaching reform of physical education in recent years. Under the background of The Times, the new educational mode conforms to the trend of The Times and is conducive to the benign development of education. Compared with the traditional physical education teaching mode, the students of the successful physical education teaching mode have a stronger sense of experience. This strong sense of participation and experience can not only improve students’ love for sports but also have a positive impact on the development of students’ mental health and also free the cultivation of students’ personality. Deep learning (DL) is a type of pattern analysis method in machine learning algorithms, which solves many complex pattern recognition problems, and has achieved many results in the fields of search technology. In this paper, by constructing a deep learning model, the model is applied to the application research of the successful physical education teaching mode in basketball teaching, and the effect of the successful physical education teaching mode in actual teaching is obtained through comparative experiments. According to the experimental results, the successful physical education teaching mode has a more significant effect on the teaching of students’ basketball skills, and according to the experiment, when the number of fine-tuning is 180, the correct rate is the highest at this time, which is 85%. When the number of hidden layer nodes is 180, the highest accuracy rate is 85.6%, and according to the experiments on the classification results, it is concluded that the model has a high degree of matching with the application research of the successful physical education model in basketball teaching.

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