Deep Learning Approaches in Inverse Problems by Deep Ray

Explore deep learning approaches in inverse problems through this comprehensive lecture, the first in a series from the Workshop on Inverse Problems and Related Topics. Delve into advanced mathematical concepts and cutting-edge techniques used to solve complex inverse problems. Gain insights from expert speaker Deep Ray as he introduces the intersection of machine learning and inverse problem solving. Learn how deep learning algorithms can be applied to various fields such as medical imaging, geophysics, and signal processing. Discover the potential of neural networks in improving the accuracy and efficiency of inverse problem solutions. Suitable for graduate students, researchers, and professionals with a strong background in partial differential equations, this lecture provides a foundation for understanding the role of deep learning in tackling challenging inverse problems across multiple disciplines.

Deep Learning Approaches in Inverse Problems (Lecture 1) by Deep Ray