Research on Evaluation Algorithm of Innovation and Entrepreneurship Effect of College Graduates Based on DL

Guo Jing and Naeem Jan

Mathematical Problems in Engineering, 2022, vol. 2022, 1-9

Abstract: In recent years, there have been more than 7 million college graduates in China every year. Management, teachers, teaching, family, and society. Finally, a summary of the whole article is made. Deep learning (DL) emphasizes the understanding, application, and creation of knowledge and forms a natural close relationship with the cultivation of innovation and entrepreneurship. DL with thinking training, knowledge migration, the flexible use of the learning method, learning state of balance and other characteristics, to improve college students’ knowledge absorptive capacity, knowledge integration capability, knowledge conversion capability, and knowledge application ability, improve students’ ability of knowledge creation, and then improve the ability of innovative undertaking. Therefore, the cultivation of college students’ innovation and entrepreneurship ability (EA) based on DL should start with the construction of teaching design, the reform of teaching methods and methods, and the innovation of teaching assessment methods. Deepening the reform of innovation and entrepreneurship education is an important way for universities to put students first, improve the talent training system, and improve the talent training level. It is the key content for universities to further promote the reform of innovation and entrepreneurship education to create specialized courses, build high-quality courses in innovation and entrepreneurship education, improve the teaching effectiveness of innovation and entrepreneurship education, and realize more effective learning for students.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:1802156

DOI: 10.1155/2022/1802156

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