Introduction to GANs, NIPS 2016 | Ian Goodfellow, OpenAI
NIPS 2016 Workshop on Adversarial Training www.iangoodfellow.com/slides/2... arxiv.org/abs/1701.00160 Introduction to Generative Adversarial Networks
Жүктеу.....
Пікірлер: 63
@IKGchiller3 жыл бұрын
They made us read goodfellows papers in every single AI class and never bothered to mention that he's literally just our age
@matthewchunk3689
3 жыл бұрын
it's like comparing zion williamson to your average college player: it will just hurt students' feelings
@techgamer1333
Жыл бұрын
Sad , But they are mentioning some lectures on youtube though🤣🤣😂😂 check his lectures on youtube😅😅
@joecincotta5805 Жыл бұрын
His recall in the Q&A was pure gold. I want to channel that during PhD defence
@wireghost897 Жыл бұрын
The Q&A section basically shows you how Ian thinks and learns stuff. He has absolute clarity of the maths behinds not just his work but the related work that he has studies. It is as he he did not just understand the maths, but he pretty much speaks maths like english.
@Gabcikovo
Жыл бұрын
Thank God
@Gabcikovo
Жыл бұрын
Copy, paste & upgrade.. Thank you.. 🇸🇰
@sabrinad19225 жыл бұрын
From 26:52, I really liked his last comment about how to teach yourself anything. Really inspiring.
@francoisdavid84873 жыл бұрын
Super clear explanation! Awesome presentation
@PixelSenseiAvi5 жыл бұрын
The man in the house!!!!
@mayukhmalidas3 жыл бұрын
Great session
@dosomething36 жыл бұрын
“Let somebody else ask questions” - Crickets. .
@sureshothwarang5 жыл бұрын
This dude is awesome
@bright14024 жыл бұрын
I think in the Q&A session, every sentence that Ian said could be a paper 😂
@ghazarosbarseghyan7645
3 жыл бұрын
Actually it is. An example is SeqGAN :D
@mermich7 ай бұрын
can I say that Ian Goodfellow is the GOAT in modern computer science? T.T
@hzg40133 жыл бұрын
what a legend!!!
@jackcuervo22622 жыл бұрын
Wow Ian is awesome!
@arielgamboavazquez42505 жыл бұрын
Ianm you have always been a good fellow :v
@TusharKale93 жыл бұрын
GANs very well explained. Great examples too. Thank you very much. Tushar
@vikaspoddar9456 Жыл бұрын
The Man, The Myth one n only Ian Goodfellow
@saikrishnapujari3 жыл бұрын
As this guy is now with Apple, any influence on their Memoji and Animoji or their Camera improvement using GAN ?
@lorforlinux5 жыл бұрын
26:50 - 28:10 is the best part
@zrmsraggot
5 жыл бұрын
Nah you are wrong but you feel that way because he tells you how you should learn, and that's obviously what you re/were trying to do at the time you watched the video.
@zheqingzhang61364 жыл бұрын
Abstract Expressionism 19:23
@bingeltube5 жыл бұрын
Recommendable
@igorcherepanov47656 жыл бұрын
do already exist any approaches to solve the problem with counting?
@supreetkurdekar57264 жыл бұрын
Ian Goodfellow is Jim Halpert!!!
@generichuman_2 жыл бұрын
19:36 one way to fix this, is to not use the Chernobyl data set.
@alexbarnadas3 жыл бұрын
Where was it?
@quickpresent8987 Жыл бұрын
how could this video "lan Goodfellow" are having less views than Siraj Raval video - * -
@vanglequy78445 жыл бұрын
Here is my summary: So basically what he is trying to say is that let D tries to defeat G and vice versa, until the battle becomes so challenging for both sides. And then ML users can benefits from the skills of the two (D and G) to make cool things like fake images, fake videos, and fake news that are indistinguishable. And in many cases, these fake things are useful. Don't ask me what happens under the hood. Need to read his paper and some more background info. Brilliant work I must say, but not so good "introduction to GANs" for broad audience.
@phuccoiinkorea3341
5 жыл бұрын
cha hieu gi ong a =))
@redryan20000
5 жыл бұрын
Sounds pretty bad tbh
@generationai2211
4 жыл бұрын
Hi, this comment partially inspired a recent video I made, I agree that this video is hard for the “general public” to understand.
@agiisahebbnnwithnoobjectiv228
3 жыл бұрын
The objective function of animal brain and hence AGI is to maximize impact. You heard it first from me. gj
@MPXVM5 жыл бұрын
9:14 - schrödinger's cat logic or Quantum state :) 50% - 50%
@Gabcikovo Жыл бұрын
2:48 both players are neural networks
@Gabcikovo
Жыл бұрын
5:16
@Gabcikovo
Жыл бұрын
5:26 the goal of the generator is to fool the discriminator
@Gabcikovo
Жыл бұрын
5:30 eventually the generator is forced to produce data as true as possible
@Gabcikovo
Жыл бұрын
Uhrik and Putin cried bitter tears
@Gabcikovo
Жыл бұрын
3:10 one of the players is trained :) to do the best as possible on the worst possible input
@robelle13573 жыл бұрын
Everything was great except for the QA session. The questioner was rude.
@jackq2331
Жыл бұрын
Not really,his question help us think.
@catsaresocute6502 жыл бұрын
The last part is bs, the right price doesn't exist. It's always a proposal of worth and it's a proposal that can be accepted/rejected. That's what makes it work. They are all proposals of the value of something and every single marked participend is judge. That's the fucking point. NOT some ideal price.
@tzywg33993 жыл бұрын
Down voters were scared by the fallout cow.
@wiiiiktor5 жыл бұрын
i like Ian, but it's hard to follow his mundane voice tone ...
@stonetech1000
5 жыл бұрын
I think his voice is just fine
@p.z.8355
4 жыл бұрын
hes a robot ;)
@prathyusha5393
4 жыл бұрын
I had similar difficulty for quite some time ... But, I guess it's focus.. rather divided focus .. With a lot of practice... I am able to focus on the content at it's root, and a little more continually now .. Edit: Not talking about Ian here... Was speaking in general.. Love listening to Ian s lectures
@kicksessentials73 жыл бұрын
The narrow wren analytically share because tortellini similarly smile upon a telling domain. unkempt, charming veil
@kulturfreund66315 жыл бұрын
This is something for really intelligent people, not for me.
@BiancaAguglia
4 жыл бұрын
This is hard for me to understand also, but only because I haven't studied enough math and ML to understand Ian. I'm sure you are the same: you're smart enough to understand it, but you haven't put in the work and time to learn ML. There's nothing stopping you from learning it, if you want. 😊
@DeViLTh0rn
4 жыл бұрын
@@BiancaAguglia i like your positive comment, do you have twitter?
@JousefM
4 жыл бұрын
@@BiancaAguglia It's definitely not easy to get into the field if you really want to understand it and there are people grasping the concepts faster and more easily than you or I do but that should not demotivate us and keep working on the skill every day :)
@BiancaAguglia
4 жыл бұрын
@@JousefM True. 😊
@shubhamchandra9258
3 жыл бұрын
@@JousefM You should be concerned about your own development only. You're good as long as you're learning and improving. Competition is an unnecessary burden.
@WaterMelonHead99223 жыл бұрын
Instead of speaking in disjointed mathematical jargon, he could have went more into practical applications and how to test/troubleshoot the models by showing actual code. Most people won't get anything out of this
@manUNITED986
Жыл бұрын
That is absolutely nonsensical, if you understood what he was saying you can go out of your way to find architectures that define what he speaks of. Just say that you're lazy and move on.
Пікірлер: 63
They made us read goodfellows papers in every single AI class and never bothered to mention that he's literally just our age
@matthewchunk3689
3 жыл бұрын
it's like comparing zion williamson to your average college player: it will just hurt students' feelings
@techgamer1333
Жыл бұрын
Sad , But they are mentioning some lectures on youtube though🤣🤣😂😂 check his lectures on youtube😅😅
His recall in the Q&A was pure gold. I want to channel that during PhD defence
The Q&A section basically shows you how Ian thinks and learns stuff. He has absolute clarity of the maths behinds not just his work but the related work that he has studies. It is as he he did not just understand the maths, but he pretty much speaks maths like english.
@Gabcikovo
Жыл бұрын
Thank God
@Gabcikovo
Жыл бұрын
Copy, paste & upgrade.. Thank you.. 🇸🇰
From 26:52, I really liked his last comment about how to teach yourself anything. Really inspiring.
Super clear explanation! Awesome presentation
The man in the house!!!!
Great session
“Let somebody else ask questions” - Crickets. .
This dude is awesome
I think in the Q&A session, every sentence that Ian said could be a paper 😂
@ghazarosbarseghyan7645
3 жыл бұрын
Actually it is. An example is SeqGAN :D
can I say that Ian Goodfellow is the GOAT in modern computer science? T.T
what a legend!!!
Wow Ian is awesome!
Ianm you have always been a good fellow :v
GANs very well explained. Great examples too. Thank you very much. Tushar
The Man, The Myth one n only Ian Goodfellow
As this guy is now with Apple, any influence on their Memoji and Animoji or their Camera improvement using GAN ?
26:50 - 28:10 is the best part
@zrmsraggot
5 жыл бұрын
Nah you are wrong but you feel that way because he tells you how you should learn, and that's obviously what you re/were trying to do at the time you watched the video.
Abstract Expressionism 19:23
Recommendable
do already exist any approaches to solve the problem with counting?
Ian Goodfellow is Jim Halpert!!!
19:36 one way to fix this, is to not use the Chernobyl data set.
Where was it?
how could this video "lan Goodfellow" are having less views than Siraj Raval video - * -
Here is my summary: So basically what he is trying to say is that let D tries to defeat G and vice versa, until the battle becomes so challenging for both sides. And then ML users can benefits from the skills of the two (D and G) to make cool things like fake images, fake videos, and fake news that are indistinguishable. And in many cases, these fake things are useful. Don't ask me what happens under the hood. Need to read his paper and some more background info. Brilliant work I must say, but not so good "introduction to GANs" for broad audience.
@phuccoiinkorea3341
5 жыл бұрын
cha hieu gi ong a =))
@redryan20000
5 жыл бұрын
Sounds pretty bad tbh
@generationai2211
4 жыл бұрын
Hi, this comment partially inspired a recent video I made, I agree that this video is hard for the “general public” to understand.
@agiisahebbnnwithnoobjectiv228
3 жыл бұрын
The objective function of animal brain and hence AGI is to maximize impact. You heard it first from me. gj
9:14 - schrödinger's cat logic or Quantum state :) 50% - 50%
2:48 both players are neural networks
@Gabcikovo
Жыл бұрын
5:16
@Gabcikovo
Жыл бұрын
5:26 the goal of the generator is to fool the discriminator
@Gabcikovo
Жыл бұрын
5:30 eventually the generator is forced to produce data as true as possible
@Gabcikovo
Жыл бұрын
Uhrik and Putin cried bitter tears
@Gabcikovo
Жыл бұрын
3:10 one of the players is trained :) to do the best as possible on the worst possible input
Everything was great except for the QA session. The questioner was rude.
@jackq2331
Жыл бұрын
Not really,his question help us think.
The last part is bs, the right price doesn't exist. It's always a proposal of worth and it's a proposal that can be accepted/rejected. That's what makes it work. They are all proposals of the value of something and every single marked participend is judge. That's the fucking point. NOT some ideal price.
Down voters were scared by the fallout cow.
i like Ian, but it's hard to follow his mundane voice tone ...
@stonetech1000
5 жыл бұрын
I think his voice is just fine
@p.z.8355
4 жыл бұрын
hes a robot ;)
@prathyusha5393
4 жыл бұрын
I had similar difficulty for quite some time ... But, I guess it's focus.. rather divided focus .. With a lot of practice... I am able to focus on the content at it's root, and a little more continually now .. Edit: Not talking about Ian here... Was speaking in general.. Love listening to Ian s lectures
The narrow wren analytically share because tortellini similarly smile upon a telling domain. unkempt, charming veil
This is something for really intelligent people, not for me.
@BiancaAguglia
4 жыл бұрын
This is hard for me to understand also, but only because I haven't studied enough math and ML to understand Ian. I'm sure you are the same: you're smart enough to understand it, but you haven't put in the work and time to learn ML. There's nothing stopping you from learning it, if you want. 😊
@DeViLTh0rn
4 жыл бұрын
@@BiancaAguglia i like your positive comment, do you have twitter?
@JousefM
4 жыл бұрын
@@BiancaAguglia It's definitely not easy to get into the field if you really want to understand it and there are people grasping the concepts faster and more easily than you or I do but that should not demotivate us and keep working on the skill every day :)
@BiancaAguglia
4 жыл бұрын
@@JousefM True. 😊
@shubhamchandra9258
3 жыл бұрын
@@JousefM You should be concerned about your own development only. You're good as long as you're learning and improving. Competition is an unnecessary burden.
Instead of speaking in disjointed mathematical jargon, he could have went more into practical applications and how to test/troubleshoot the models by showing actual code. Most people won't get anything out of this
@manUNITED986
Жыл бұрын
That is absolutely nonsensical, if you understood what he was saying you can go out of your way to find architectures that define what he speaks of. Just say that you're lazy and move on.