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

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This conversation with Ian led me to rethink the way I see several basic ideas in deep learning, including generative models, adversarial learning, and reasoning. I definitely enjoyed it and hope you do as well.
0:00 - Introduction
5:40 - On cognition/consciousness
7:04 - Self-awareness
14:00 - Deep learning
23:10 - Limits of machine learning
26:44 - GANs
42:32 - Semi-supervised learning
49:34 - Data augmentation

lexfridman
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You should've animated Ian's photo with a GAN after the battery ran out xD.

Jone
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Fascinated by how well Ian communicates ideas, almost too well.

SY-merk
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This guy is extremely smart, knowledgeable and passionate about his field of study. A great interview. Thank you Lex for these podcasts !

whiteFx
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5:40 On cognition/consciousness
7:04 self-awareness
14:00 how do you begin to summarize Deep Learning?
17:09 what is Deep Learning?
18:28 Example of Deep Learning that is not Gradient Decent on Differentiable functions
23:10 Shortcoming of ML
24:18 Facts and Expert Analysis
26:44 origin of the idea of GANs
39:00 GANs efficacy
39:53 Brief history of GANs
42:32 semi-supervised learning
44:30 circumventing data labels
47:22 domain-adaptation algs
49:34 "Do you think GANs could be useful for data-augmentation?"
referencing

Kakerate
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I have had the opportunity to learn directly from Ian Goodfellow in an online session. He was so unassuming and objective and answered questions regardless of whether they sounded silly or not. Very impressed with how humble he is although he knows so much.

purelogic
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I watched this interview a few weeks back and I was completely lost and didn't understand what was being talked about. I've since read some of Ian Goodfellow's book Deep Learning and I've also watched videos and read articles that provide an introduction to AI, Deep learning and machine learning. Watching this interview again, I can piece things together and I'm not completely lost anymore. I have a long way to go but I'm happy I'm getting there :D

sophiavirdi
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I was seriously waiting for the interview with Ian Goodfellow

dolphinwhale
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Congrats Lex, the podcast is getting better and better

santiagoespada
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Of all your podcasts, this one has the best questionnaire.

ahujaavi
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thanks a lot for this interview, both the questions themselves and Ian's answers make the information incredibly accessible. Even though I don't know much about the topic, I only had to stop to google a couple of times to take away a lot of stuff, a much more relaxing format to take in information

MrJohnaiton
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Two legends from MIT & Stanford University 😍

sumantadas
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Finally a talk about the real tech of AI a little bit beyond the usual. Thanks I learnt alot.

Dragonblood
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I am currently reading his book "Deep Learning" to study ML and DL. Then I noticed that there this old LFP episode on it. Enjoyed seeing how much improvements have been occuring in the world since then. This was a very insightful session regardless of it being 5 years old.

arjunraghunandanan
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Hey Lex, just want to say... I love your videos. Still need to watch most of them... but I love the ones I've watched. Please keep making them.

jstov
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Congratulations for this interview, which I found brilliant thanks to the capacity of the Ian Goodfellow to share high level insights from his expertise, and thanks to the very qualitative and well designed questions of Lex Fridman.

edouard.mercier
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I really liked Ian's summary of the problems with neural networks arising out of their reliance on labelled data.

r.d.machinery
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Your podcast is my favorite podcast. Keep making them and thank you for making them.

lightbk
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Amazing to listen to this in 2024 and see that even them didn’t see it coming.
Min 24 Lex says “chatting with a neural net” and laughs. We are doing it everyday.

danielnofal
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I love Ian!
Your podcasts are getting better and better Lex, keep going!

JousefM