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学术报告二十三:An Optimization View Point of Deep Learning: From Theory to Applications (三)

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时间:2020-06-09 16:38 

数学与统计学院学术报告[2020] 023

(高水平大学建设系列报告375)

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

报告人: 贾西西 副研究员 (西安电子科技大学)

报告时间:2020610900-1030

报告地点: 腾讯会议 330 850 001

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.


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