数学与统计学院学术报告[2020] 019号

(高水平大学建设系列报告372号)

报告题目: An Optimization View Point of Deep Learning: From Theory to Applications (二)

报告人： 贾西西 博士后 （西安电子科技大学）

报告时间：2020年6月8日9：00-10：30

报告地点： 腾讯会议 750 448 080

报告内容：

Deep learning has become a milestone in a lot of applications ranging from computer vision, to natural langue processing, to auto drive. In this talk, I will give a general analysis of deep learning from the optimization point of view. To be more specific, I will show that how does each of the three ingredients in deep learning — training data, network architecture and optimization algorithms --affect the overall learning and generalization. Meanwhile, I will expose some tricks that really help improving the training efficiency.

报告人简历：

Xixi Jia was graduated from Xidian University, and currently he serves at the school of mathematics and statistics of Xidian University. He also works as a research assistant at the Hong Kong Polytechnic University. His research interests include deep learning, differential equation, optimization and low-level vision.

欢迎感兴趣的师生参加！

数学与统计学院

2020年6月5日