Geordie Williamson - What can the working mathematician expect from deep learning? - IPAM at UCLA
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- Опубликовано: 22 авг 2024
- Recorded 13 February 2023. Geordie Williamson of the University of Sydney presents "What can the working mathematician expect from deep learning?" at IPAM's Machine Assisted Proofs Workshop.
Abstract: 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.
Learn more online at: www.ipam.ucla.e...
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