Application of Deep Learning in Dance Teaching

The role of intelligent algorithm in dance teaching is very important, but there is a problem that the application effect is not satisfactory. Traditional pedagogy cannot solve the problem of poor application effect in dance teaching, and there are few application indicators. Therefore, this paper proposes a deep learning method to construct an optimization model for dance teaching. Firstly, the teaching theory is used to evaluate the application of the results of dance teaching, and the result is divided according to the degree of application, so as to reduce the subjective factors in the application. Then, the teaching theory is used to evaluate the dance teaching, form an application evaluation set, and comprehensively evaluate the results. MATLAB simulation shows that the evaluation accuracy and application evaluation time of deep learning method are better than traditional teaching methods under certain teaching requirements.