| Id | 2614 | |
| Author | Huang J. | |
| Title | Analysis of the Correlation between College Music Education and Public Mental Health Based on Deep Learning | |
| Reference | Huang J. Analysis of the Correlation between College Music Education and Public Mental Health Based on Deep Learning,Journal of Environmental and Public Health 2022 |
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| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139888334&doi=10.1155%2f2022%2f6593850&partnerID=40&md5=588ee79a4e1a0462ac2f021e8e142bf3 |
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| Abstract | With the continuous changes of college music education and public mental health problems, conventional solutions are no longer sufficient. At this time, we adopted a method based on deep learning to study them. The experiments showed that Circled digit one deep learning can be well integrated into two. Among them, the rapport rate between them reached 91%, and the sometimes-unstable state of the system was solved by optimizing the model. Finally, through the evaluation algorithm, the overall score of the model was obtained to fluctuate between 85 and 90. Circled digit two According to the data in the figures and tables, it can be concluded that university music education under deep learning has received more attention in my country, and the investment amount has also increased from 2.4 billion to 3.7 billion. The highest music education activities in universities have become 55% of concerts and 41% of musical instrument experience classes, and finally, my country's public mental health problem has become a country with the lowest level in the world. © 2022 Jingle Huang. |
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| Keywords | Deep Learning; Humans; Mental Health; Music; Universities; algorithm; Article; attention; controlled study; deep learning; education; human; investment; mental disease; mental health; musical instrument; mental health; music; psychology; university |
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