{"id":808879,"date":"2022-01-05T01:18:52","date_gmt":"2022-01-05T09:18:52","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=808879"},"modified":"2022-01-05T01:18:52","modified_gmt":"2022-01-05T09:18:52","slug":"talk-theoretical-aspects-of-gradient-methods-in-deep-learning","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/talk-theoretical-aspects-of-gradient-methods-in-deep-learning\/","title":{"rendered":"Talk: Theoretical Aspects of Gradient Methods in Deep Learning"},"content":{"rendered":"

Talk: Theoretical Aspects of Gradient Methods in Deep Learning by Jian Li of Tsinghua University.<\/p>\n

Learn more about the 2021 MSR Asia Theory Workshop:<\/p>\n

2021 MSR Asia Theory Workshop<\/a><\/p><\/blockquote>\n