"Deep Learning," as a key course in the Artificial Intelligence (AI) program, is grounded in advanced mathematics and computer technology, providing a solid foundation for applying AI across various industries. However, with the rapid development of AI technology, a purely theoretical approach to teaching "Deep Learning" can no longer meet the national demand for application-oriented AI professionals. To effectively cultivate AI talent, this paper explores a teaching model that combines theory and application within the context of higher education AI program development. By optimizing teaching content and experimental methods, the aim is to enhance the teaching effectiveness through project-based learning, ultimately fostering students' practical abilities and overall competence.
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Zhang et al. (2024) studied this question.
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