IntroductionStochastic Gradient Descent (SGD), in one form or another, serves as the workhorse method for training modern machine learning models. Amidst its myriad variations, the SGD domain is both extensive and burgeoning, presenting a significant challenge for both practitioners and even experts to understand its landscape and inhabitants. This course offers a mathematically rigorous and co...
IntroductionAI for Science is promoting the transformation of scientific research paradigm, which has a great impact on the research of forward and inverse problems related to partial differential equation models describing various natural and social phenomenon. The main content of this course is to explain the literature related to "machine learning and differential equations" in recent years,...