摘要
深度学习作为机器学习的一个新分支,在学术界和工业界受到了广泛的关注。深度学习是一门理论与实践紧密结合的课程,为增强学生利用深度学习理论和方法解决工程实际问题的能力,探索与实践了研究性实验教学。以“基于Faster R-CNN的乳腺X线图像肿块检测”内容为例,基于前沿的、有实际价值的科研项目,按照高阶性和创新性的目标设计实验内容。通过研究性实验教学,加深了学生对课程相关理论的理解与应用,增强了学生的高阶思维能力和创新能力。
As a new branch of machine learning,Deep Learning has attracted extensive attention in academia and industry.Deep Learning is a course,which closely combines theory with practice.In order to enhance students’ability to use theories and methods of this course to solve practical engineering problems,the research-oriented experimental teaching is explored and practiced.Taking the content of“detection of breast X-ray image mass based on Faster R-CNN”as an example,and based on the cutting-edge and practical scientific research projects,the experimental teaching content is designed according to the high-order and innovative objectives.Through research-oriented experimental teaching,students’understanding and application of the course-related theories are deepened and students’high-level thinking ability and innovation ability are enhanced.
作者
李艳凤
陈后金
LI Yan-feng;CHEN Hou-jin(School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044,China)
出处
《教育教学论坛》
2021年第19期137-140,共4页
Education And Teaching Forum
基金
2020年度教育部新工科研究与实践项目“面向新工科的信号与信息系统系列课程改革”(E-DZYQ20201402)
2020年度北京交通大学研究生优质核心课程及教育教学改革项目“‘深度学习’课程建设”(134793522)
2019年度北京交通大学教改项目“模式识别与机器学习慕课建设与应用”(356369535)。
关键词
深度学习
目标检测
研究性实验教学
Deep Learning
object detection
research-oriented experimental teaching
