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新工科背景下神经网络与深度学习课程的项目式教学探析
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Abstract:
为响应国家对新工科专业建设的需求，文章以神经网络与深度学习课程教学中期待解决的三个问题为切入点，将项目式教学融入到卷积神经网络的教学过程中，通过“三课两实践”的阶段性交叉教学方法，逐层递进完成了学生对理论知识的内化吸收、科研素质的提升及团队合作精神的培养，验证了在数据科学人才培养过程中项目式教学的可行性和有效性。
In order to meet the needs of new engineering construction, focusing on the three problems expected to be solved in the teaching of neural networks and deep learning courses, the article integrates project-based teaching into the teaching process of convolutional neural networks. Through a phased cross-teaching method of “three lectures and two practices”, it progressively completes the internalization and absorption of theoretical knowledge by students, the enhancement of scientific research quality, and the cultivation of team spirit. The feasibility and effectiveness of project-based teaching have been verified in practice.
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