The Mathematics of Deep Learning
Deep learning recently led to phenomenal breakthroughs in a myriad of practical machine learning tasks, such as ImageNet classification challenge and playing the game Go. Yet scholars are in quest of mathematical and theoretical understanding which aims to penetrate through the mysteries that explain clearly how it works so well in empirical success. This odyssey has seen intellectuals from a variety of backgrounds approaching the challenge collectively in an interdisciplinary way, including mathematical sciences, computer science, neural science, and psychology.
This IAS workshop on “The Mathematics of Deep Learning” will bring diverse researchers together, to promote the interactions and collaborations towards deeper understanding of deep learning.