Study of Teaching Yolov5 Algorithm Examples Based on OBE Concepts
Aiming at the teaching reality that deep learning courses have a lot of theoretical knowledge,teachers' explanations are difficult,and students are hard to understand,it focuses on the teaching strate-gy of the example of Yolov5,the latest algorithm about image processing in deep learning courses,to im-prove students' interest in learning deep learning courses,and to enhance student' s ability to discover problems and solve them.The example explains the Yolov5 mask-wearing recognition algorithm based on the OBE concept,firstly,the teaching method is elaborated and analyzed,secondly,the selection of teach-ing examples and the implementation of the algorithm are explained,finally,the teaching quality is promo-ted through teaching reflection and teaching evaluation.
Outcomes-based Educationdeep learningYolov5 algorithmteaching by example
万方数据
维普
