scientific computing

Georgios Grekas

Georgios Grekas

Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

solid mechanics biomechanics numerical analysis scientific computing

Deep Learning and Scientific Computing

Jinchao Xu, Professor, Applied Mathematics and Computational Sciences

Sep 27, 12:00 - 13:00

B9 L2 R2322

Deep learning scientific computing

In this talk, I will first give an elementary introduction to basic deep learning models and training algorithms from a scientific computing viewpoint. Using image classification as an example, I will try to give mathematical explanations of why and how some popular deep learning models such as convolutional neural network (CNN) work. Most of the talk will be assessable to an audience who have basic knowledge of calculus and matrix. Toward the end of the talk, I will touch upon some advanced topics to demonstrate the potential of new mathematical insights for helping understand and improve the efficiency of deep learning technologies.