Machine Learning Seminar presentation
Topic: Deep neural network on PDEs
Speaker: Ayan Chakraborty, Faculty of Mathematics and Physics, Leibniz University Hannover
Time: Wednesday, 2021.12.08, 10:00 CET
How to join: Please contact Jakub Lengiewicz
In this seminar, we will focus on the connections of deep learning-based approximation methods for partial differential equations (PDEs). We will briefly discuss the mathematical analysis of such deep learning-based approximation algorithms and demonstrate the design and the performance of such algorithms in the context of PDEs.