Analysis and Evaluation Research on the Construction of the Music Art Management Curriculum System Based on the Deep Learning Model

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Abstract

In view of the fact that music courses are seldom offered in schools and lack of management, there are many problems in the management system of music and art. In order to improve the learning effect of students in music courses, this paper proposes to build a music art management curriculum system based on the in-depth learning model. This paper puts forward the requirements of in-depth learning in music and art curriculum indicators and puts forward the model framework of music and art learning. Through the combined application of music courses, first of all, the current music course model is compared with Ghostnet music course, Mobilenet music course, and traditional music course to verify that the current music course model has certain advantages in accuracy, precision, recall, and image recognition performance. This proves that the current music curriculum is more suitable for the construction of this model. Secondly, the proposed model has a high score through the comprehensive application of several indicators in the course. Finally, under the model constructed by deep learning, the opening of music courses in schools has also increased significantly and improves the interest point and the application of people on the music art course so as to achieve the final application effect.

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APA

Hu, S., & Yang, L. (2022). Analysis and Evaluation Research on the Construction of the Music Art Management Curriculum System Based on the Deep Learning Model. Journal of Sensors. Hindawi Limited. https://doi.org/10.1155/2022/5873218

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