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发表时间:2021-01-25 阅读次数:812次
报告题目: PDE-based models in machine learning
报 告 人:史作强 教授
报告人所在单位:清华大学数学科学亚投彩票网站app
报告日期:2021-01-25 星期一
报告时间:9:00-10:00
报告地点:腾讯会议ID:196688549, 密码: 200433
  
报告摘要:
In this talk, I will present several PDE models and show their relations to machine learning and deep learning problem. In these PDE models, we use manifold to model the low dimensional structure hidden in high dimensional data and use PDEs to study the manifold.  I will reveal the close connections between PDEs and deep neural networks. Theoretical analysis and numerical simulations show that PDEs provide us powerful tools to understand high dimensional data.

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