Research on the Application of Deep Learning in Artificial Intelligence Courses
PDF

Keywords

Deep learning
Artificial intelligence courses
Application strategies

DOI

10.26689/jera.v5i6.2760

Abstract

With the in-depth reform of education, taking students as the center, letting students master the basic knowledge of the theory, but also training students’ practical skills, is an important goal of the current artificial intelligence curriculum teaching reform. As a new learning method, deep learning is applied to the teaching of artificial intelligence courses, which can not only give play to students’ subjective initiative, but also improve the efficiency of students’ classroom learning. In order to explore the specific application of deep learning in the teaching of artificial intelligence courses, this article analyzes the key points of the application of deep learning in artificial intelligence courses. In addition, further explores the application strategies of deep learning in artificial intelligence courses. As it aims to provide some useful references to improve the actual efficiency of artificial intelligence course teaching.

References

Wang L, 2021, Exploration of Primary School Artificial Intelligence Teaching Strategies based on Deep Learning. China Modern Education Equipment, (12): 35-36+62.

Wang Y, Wen J, Zhang H, et al., 2021, Research and Practice of the Four-Stage Teaching Method of “Deep Learning” Experimental Teaching. Experimental Technology and Management, 38(05): 208- 212.

Zhu W, 2020, Research on Target Detection Cases Based on Python Deep Learning-High School Information Technology School-based Curriculum Artificial Intelligence Case Development. Modern Information Technology, 4(14): 70-72.

Lu B, Zheng Y, Chen Y, et al., 2019, Path Analysis of Deep Learning Courses Under the New Generation of Artificial Intelligence Wave. Computer Education, (10): 151-154+162.