基于在线实验平台的实践教学研究——以“神经网络与深度学习”为例  

Practice Teaching Based on Online Experimental Platforms in the Course of Neural Networks and Deep Learning

作　　者：赵瑞杰[1] ZHAO Ruijie(School of Mechanical,Electrical and Information Engineeing,Shandong University,Weihai Shandong 264209,China)

机构地区：[1]山东大学机电与信息工程学院,山东威海264209

出　　处：《湖北第二师范学院学报》2025年第2期68-72,共5页Journal of Hubei University of Education

基　　金：2024年度山东大学教学改革项目“基于希冀平台的《人工神经网络与深度学习》实践教学研究”(Y2024054)。

摘　　要：随着人工智能技术的迅猛发展,人工神经网络与深度学习作为其核心内容,已成为计算机科学领域的研究热点和教学实践的重要方向。希冀平台作为一个集云端自动化实验教学环境与人工智能科研平台于一体的综合性平台,为“神经网络与深度学习”课程提供了丰富的教学资源和实践环境。探讨基于希冀平台的“神经网络与深度学习”课程实践教学的改革,研究如何优化教学内容,确保课程内容的先进性和前沿性;如何改良教学方法,以激发学生的学习兴趣和积极性;如何完善评价机制,从而客观、准确地评估学生的学习效果。通过教学改革推动本课程的持续发展,为培养更多具有创新能力和实践精神的人才做出贡献。With the rapid growth of artificial intelligence technology,artificial neural networks and deep learning,as its core contents,have become a hot research spot in the field of computer science and an area of practical teaching.The XiYi Platform,a comprehensive platform that integrates cloud-based automated experimental teaching environments with artificial intelligence research platforms,provides abundant teaching resources and practical environments for the course of Neural Networks and Deep Learning.This paper aims to investigate the reform of practice teaching for the courses of Neural Networks and Deep Learning based on the XiYi Platform,specifically how to optimize teaching content to ensure its advancement and frontier;how to improve teaching methods to stimulate students’interest and enthusiasm for learning;and how to perfect the evaluation mechanism to objectively and accurately assess learning outcomes.Through these teaching reforms,we aim to promote the continuous development of this course and contribute to cultivating more talents with innovative abilities and a practical spirit.

关 键 词：神经网络 深度学习 实践教学 在线平台 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] G434[自动化与计算机技术—控制科学与工程]