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Design of Music Education Software APP based on Convolutional Neural Network

The increasing development of the Internet has created new possibilities for people's learning methods. In the process of further improving the quality of national art and culture, APP online music teaching uses its unique educational form to provide music lovers with a new way of learning. And made a contribution to the development of music education in our country. In order to allow the majority of primary and secondary music teachers to actively change their teaching methods and improve their teaching quality under the guidance of new information technology environment and new curriculum concepts, this paper studies the design of music education software APP based on convolutional neural network, in order to design an online music education APP that can be used in music teaching activities. Firstly, the related concepts of convolutional neural network are introduced, and the design characteristics of music education APP are also analyzed, and its characteristics are fully applied to music teaching to realize the sharing of music information resources. Then the convolutional neural network is modeled for the design of music education APP, and the technical dimension indicators of music education APP are also set. In the final experiment, it was found that 78.4% of the students believed that the use of APP for music learning has cultivated interest in instrumental music learning and can greatly improve the enthusiasm for learning.