Exploration on Teaching Reform Based on the Combination of Deep Learning and Embedded Curriculum

Abstract

Abstract: Entering the era of artificial intelligence, students’employment pressure surges, and objectively requires that the curriculum system of colleges and universities has to make new adjustments, enhance the social adaptability of artificial intelligence courses, and explore the possible path of course content system construction, which is the core issue of the teaching reform of artificial intelligence majors. Therefore, this paper proposes to combine the two courses of deep learning and embedded system with comprehensive teaching case practice, and set up a practice course in artificial intelligence major to cultivate students' innovative thinking and improve students'hard and soft practical ability, so as to meet the needs of modern society for comprehensive talents.

Key words: Artificial intelligence, Deep learning, Embedded, Promoting learning by competition, Synthesizing type, Course

CLC Number:

WANG Degui, PENG Shengzhe, SUN Xiaoqian, LI Yanmei, LIU Xuefei, RONG Xiaofeng, CHEN Xuan, BI Jinshun. Exploration on Teaching Reform Based on the Combination of Deep Learning and Embedded Curriculum[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2024, 7(14): 145-149.

References

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