Lex Fridman PodcastYann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning | Lex Fridman Podcast #36
Episode Details
EPISODE INFO
- Released
- August 31, 2019
- Duration
- 1h 15m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is a professor at New York University, a Vice President & Chief AI Scientist at Facebook, co-recipient of the Turing Award for his work on deep learning. He is probably best known as the founder of convolutional neural networks, in particular their early application to optical character recognition. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep36-sb See below for timestamps, and to give feedback, submit questions, contact Lex, etc. *CONTACT LEX:* *Feedback* - give feedback to Lex: https://lexfridman.com/survey *AMA* - submit questions, videos or call-in: https://lexfridman.com/ama *Hiring* - join our team: https://lexfridman.com/hiring *Other* - other ways to get in touch: https://lexfridman.com/contact *OUTLINE:* 0:00 - Introduction 1:11 - HAL 9000 and Space Odyssey 2001 7:49 - The surprising thing about deep learning 10:40 - What is learning? 18:04 - Knowledge representation 20:55 - Causal inference 24:43 - Neural networks and AI in the 1990s 34:03 - AGI and reducing ideas to practice 44:48 - Unsupervised learning 51:34 - Active learning 56:34 - Learning from very few examples 1:00:26 - Elon musk: deep learning and autonomous driving 1:03:00 - Next milestone for human-level intelligence 1:08:53 - Her 1:14:26 - Question for an AGI system *PODCAST LINKS:*
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SPEAKERS
Lex Fridman
hostYann LeCun
guest
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Yann LeCun, Yann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning | Lex Fridman Podcast #36 explores yann LeCun outlines path to human-level AI through self-supervision Yann LeCun discusses the limitations of current AI, arguing that real progress toward human-level intelligence requires self-supervised learning and rich predictive models of the world rather than just bigger supervised or reinforcement learning systems.
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