Lex Fridman PodcastJeremy Howard: fast.ai Deep Learning Courses and Research | Lex Fridman Podcast #35
Episode Details
EPISODE INFO
- Released
- August 27, 2019
- Duration
- 1h 44m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Jeremy Howard is the founder of fast.ai, a research institute dedicated to make deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a former president of Kaggle as well a top-ranking competitor there, and in general, he's a successful entrepreneur, educator, research, and an inspiring personality in the AI community. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep35-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 1:18 - First program 3:07 - Favorite programming languages 15:01 - Programming languages for machine learning 23:35 - Fast.ai intro (to be continued later) 24:31 - Ai and deep learning in medicine 32:30 - Privacy 37:55 - Fast.ai 40:42 - Theory vs practice 45:43 - DAWNBench - Stanford deep learning benchmark 56:24 - Fusing multiple audio and image sources 59:01 - Learning rate & deep learning as an experimental science 1:04:32 - Working with data 1:06:16 - Deep learning cloud options 1:09:12 - Deep learning frameworks 1:17:51 - How long does it take to finish fast.ai courses? 1:19:49 - Lessons from teaching deep learning 1:21:34 - Advice for people starting with deep learning 1:27:02 - Startups and entrepreneurship 1:32:21 - Anki and spaced repetition 1:40:06 - Next breakthrough in deep learning 1:41:17 - Job displacement and Andrew Yang *PODCAST LINKS:*
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SPEAKERS
Lex Fridman
hostJeremy Howard
guestNarrator
other
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Jeremy Howard, Jeremy Howard: fast.ai Deep Learning Courses and Research | Lex Fridman Podcast #35 explores jeremy Howard on democratizing deep learning, tools, and real impact Jeremy Howard discusses his path from early programming and music to founding fast.ai, emphasizing a lifelong focus on practical data work and useful tools. He contrasts different programming languages and paradigms, arguing current Python-based deep learning stacks are powerful but fundamentally constrained for real innovation, and outlines why he’s betting on Swift and MLIR-style compilers. A large portion of the conversation centers on making deep learning accessible—through fast.ai courses, better tooling, and cloud setups—so domain experts (especially in areas like medicine) can solve real problems with limited data and compute. He also critiques academic incentives, over-reliance on big data and big compute, and stresses the ethical responsibilities and labor implications of AI.
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