摘要
提出了基于深度学习的研究生科研实践创新培养模式,将深度学习的训练—反馈—学习的迭代优化思想应用于研究生培养。通过创新能力训练小闭环与独立项目实践大闭环的双闭环反馈培养训练机制,有效解决研究生科研实践创新能力培养与定量评价问题。
An innovative training model for postgraduate research practice based on deep learning is proposed, and the iterative optimization idea of deep learning training-feedback-learning is applied to postgraduate training. Through the double closed-loop feedback training mechanism of innovation ability training small closed-loop and independent project practice large closed-loop, the problem of training and quantitative evaluation of graduate scientific research practice innovation ability is effectively solved.
作者
张寅
闫钧华
吕向阳
ZHANG Yin;YAN Jun-hua;Lü Xiang-yang(Academy of Astronautics,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《价值工程》
2020年第21期165-168,共4页
Value Engineering
基金
南京航空航天大学研究生教育教学改革研究项目2018YJXGG20资助。
关键词
深度学习
科研实践创新能力
双闭环机制
研究生培养
deep learning
scientific research
practice and innovation ability
double closed-loop mechanism
postgraduate training
