Analysis and research on the influence of music on students’ mental health under the background of deep learning

Abstract

This paper makes a detailed analysis and discussion on the impact of music appreciation on college students’ mental health and the influence of music appreciation on students’ mental health, mental energy and mental structure. There has long been the idea of music promoting people’s mental health, as well as related research in the field of music psychology. For this specific group of primary and secondary school students, it should be said that it is relatively rare to consider using music education to promote their mental health. This paper summarizes the advantages of deep learning over shallow learning, explains the necessity of introducing deep learning, and describes the data representation of deep learning and several typical deep learning models. This study adopts the method of multi-evidence to conduct in-depth research and analysis. On the basis of in-depth study and research, this paper analyzes and studies the impact of music on students’ mental health, so as to lay a foundation for future research on students’ mental health. In terms of influencing factors and strategies to promote students’ in-depth learning, we should apply the research results to specific teaching situations with the help of advanced digital technology, and strive to combine theory with practice. The research shows that college students’ mental health is an important part of quality education in Colleges and universities, and music education plays an important role in the implementation of quality education.

Influence of music on the hearing and mental health of adolescents and countermeasures

“…This bi-directional relationship underscores the significance of music in the realm of adolescent psychological health, and it contributes fresh perspectives and ideas for future research. Possible future research areas could include studying how adolescents utilize music to manage their psychological stress or investigating ways to enhance their mental health through music education ( Wang et al, 2022 ). Although music confers a multitude of benefits on adolescent mental health, inappropriate utilization of music may have detrimental effects.…”

Derin Öğrenme Tabanlı Gerçek Zamanlı Vücut Hareketlerinden Duygu Analizi Modeli

“…Duygusal analiz çalışmaları, eğitim ve psikoloji alanlarındaki uzmanlarla işbirliği yaparak daha derinlemesine anlayışlar geliştirebilir. Bu iş birlikleri, özellikle eğitimde ve zihinsel sağlık uygulamalarında, duygusal analizin daha etkili bir şekilde kullanılmasını sağlayabilir [28].…”

Chemoinformatics and Artificial Intelligence in Biochemistry

“…In summary, supervised machine learning [3] and deep learning [4,5] are algorithmic methods based on a training set of data and an experimental set of data, allowing them to develop a model following different steps. The first step is to train the supervised machine and deep learning algorithmic models based on mathematical methods of linear and nonlinear regression, hyperplanes, metrics, thresholds, multi-layers, and calculation loops allowing those algorithms to calculate mathematical scores from those training databases and to create the nodes of the neural networks [6] successively used as a reference to classify in a second step the data of the experimental set into groups called classes or classifiers.…”