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Book · recommended on 4 episodes

Deep Learning

Ian Goodfellow, Yoshua Bengio, Aaron Courville ISBN 9780262337434

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This book by Ian Goodfellow, Yoshua Bengio, Aaron Courville has come up 4 times on Lex Fridman. 2 of those mentions were genuine on-air recommendations, not just passing references. The people who brought it up: Lex Fridman, Yoshua Bengio. The earliest mention we indexed is from 2016-09-27 and the most recent from 2020-01-10. Every occurrence below links to the episode page and to the exact second it was said on YouTube.

What it is

"Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

Every time it came up

RecommendedLex Fridman

Deep Learning State of the Art (2020)

“the three books I recommend”
“the three books I recommend of course learning book by yoshua bengio and good fellow and erinkoval that's more sort of the fundamental thinking”— Lex Fridman

The guest here is Lex Fridman: MIT researcher, lecturer, and AI podcast host who teaches a popular deep learning lecture series and works on autonomous driving and human-centered AI. Lex Fridman's whirlwind 2020 tour of deep learning's biggest breakthroughs, debates, and open problems across NLP, RL, and self-driving.

01:09:092020-01-10
Guest's own workLex Fridman

Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19

“he's the author of the popular textbook on deep learning simply titled deep learning”— Lex Fridman

The guest here is Ian Goodfellow: Machine learning researcher who coined generative adversarial networks (GANs) in his 2014 paper, co-author of the textbook Deep Learning, and director of machine learning at Apple (formerly OpenAI and Google Brain). Ian Goodfellow, inventor of GANs, explains how generative adversarial networks work and where deep learning and AI security are headed.

00:00:002019-04-18
RecommendedLex Fridman

MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles

“I encourage you to read the deep learning book”
“I encourage you to read the deep learning book, it's available online, deeplearningbook.org.”— Lex Fridman

The guest here is Lex Fridman: MIT researcher and lecturer teaching the 6.S094 deep learning course, studying the human side of semi-autonomous vehicles using camera data from Teslas. Lex Fridman explains how deep learning perceives the human driver inside semi-autonomous cars to build trust and safety.

00:29:092017-02-18
Guest's own workLex Fridman

Foundations and Challenges of Deep Learning (Yoshua Bengio)

“the book that Ian Goodfellow erinkoval and I have written and it's now in presale by MIT press I think you can find it on Amazon”— Yoshua Bengio

The guest here is Yoshua Bengio: Pioneering deep learning researcher, University of Montreal professor, and co-author of the Deep Learning textbook. Yoshua Bengio explains why deep learning works: compositionality beats the curse of dimensionality, and unsupervised learning is the next frontier.

00:00:002016-09-27