강연 / 세미나
Eastern Hemisphere Colloquium on Geometry and Physics (EHCGP)
분야Field | |||
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날짜Date | 2023-03-08 ~ 2023-03-08 | 시간Time | 17:00 ~ 18:00 |
장소Place | Online Streaming | 초청자Host | |
연사Speaker | Geordie Williamson | 소속Affiliation | Sydney Mathematical Research Institute & University of Sydney |
TOPIC | Eastern Hemisphere Colloquium on Geometry and Physics (EHCGP) | ||
소개 및 안내사항Content | What can the working (pure) mathematician expect from deep learning? 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. ★ Pre-registration is certainly required, please visit https://cgp.ibs.re.kr/ |
학회명Field | Eastern Hemisphere Colloquium on Geometry and Physics (EHCGP) | ||
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날짜Date | 2023-03-08 ~ 2023-03-08 | 시간Time | 17:00 ~ 18:00 |
장소Place | Online Streaming | 초청자Host | |
소개 및 안내사항Content | What can the working (pure) mathematician expect from deep learning? 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. ★ Pre-registration is certainly required, please visit https://cgp.ibs.re.kr/ |
성명Field | Eastern Hemisphere Colloquium on Geometry and Physics (EHCGP) | ||
---|---|---|---|
날짜Date | 2023-03-08 ~ 2023-03-08 | 시간Time | 17:00 ~ 18:00 |
소속Affiliation | Sydney Mathematical Research Institute & University of Sydney | 초청자Host | |
소개 및 안내사항Content | What can the working (pure) mathematician expect from deep learning? 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. ★ Pre-registration is certainly required, please visit https://cgp.ibs.re.kr/ |
성명Field | Eastern Hemisphere Colloquium on Geometry and Physics (EHCGP) | ||
---|---|---|---|
날짜Date | 2023-03-08 ~ 2023-03-08 | 시간Time | 17:00 ~ 18:00 |
호실Host | 인원수Affiliation | Geordie Williamson | |
사용목적Affiliation | 신청방식Host | Sydney Mathematical Research Institute & University of Sydney | |
소개 및 안내사항Content | What can the working (pure) mathematician expect from deep learning? 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. ★ Pre-registration is certainly required, please visit https://cgp.ibs.re.kr/ |