What can the working (pure) mathematician expect from deep learning?
Speaker(s): Geordie Williamson (Sydney Mathematical Research Institute & University of Sydney)
Time: 16:00-17:00 March 8, 2023
Venue: Online
Deep learning (the training of deep neural nets) is a simple idea, which has had many extraordinary applications throughout industry and science over the last decade. In mathematics the impact has so-far been modest at best. I will discuss a few instances where it has proved useful, and led to interesting (pure) mathematics. I will also discuss what can be learned from these examples, and try to guess an answer to the question in the title. I will also reflect on my experience as a pure mathematician interacting with deep learning.
Zoom: https://us06web.zoom.us/j/83257513046?pwd=aTBzTWhEU2xWY3FZN3Z0b3ZXbk9oQT09
ID: 832 5751 3046
Password: EHCGP2023