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

Пікірлер: 63

  • @IKGchiller
    @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

    @matthewchunk3689

    3 жыл бұрын

    it's like comparing zion williamson to your average college player: it will just hurt students' feelings

  • @techgamer1333

    @techgamer1333

    Жыл бұрын

    Sad , But they are mentioning some lectures on youtube though🤣🤣😂😂 check his lectures on youtube😅😅

  • @joecincotta5805
    @joecincotta5805 Жыл бұрын

    His recall in the Q&A was pure gold. I want to channel that during PhD defence

  • @wireghost897
    @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

    @Gabcikovo

    Жыл бұрын

    Thank God

  • @Gabcikovo

    @Gabcikovo

    Жыл бұрын

    Copy, paste & upgrade.. Thank you.. 🇸🇰

  • @sabrinad1922
    @sabrinad19225 жыл бұрын

    From 26:52, I really liked his last comment about how to teach yourself anything. Really inspiring.

  • @francoisdavid8487
    @francoisdavid84873 жыл бұрын

    Super clear explanation! Awesome presentation

  • @PixelSenseiAvi
    @PixelSenseiAvi5 жыл бұрын

    The man in the house!!!!

  • @mayukhmalidas
    @mayukhmalidas3 жыл бұрын

    Great session

  • @dosomething3
    @dosomething36 жыл бұрын

    “Let somebody else ask questions” - Crickets. .

  • @sureshothwarang
    @sureshothwarang5 жыл бұрын

    This dude is awesome

  • @bright1402
    @bright14024 жыл бұрын

    I think in the Q&A session, every sentence that Ian said could be a paper 😂

  • @ghazarosbarseghyan7645

    @ghazarosbarseghyan7645

    3 жыл бұрын

    Actually it is. An example is SeqGAN :D

  • @mermich
    @mermich7 ай бұрын

    can I say that Ian Goodfellow is the GOAT in modern computer science? T.T

  • @hzg4013
    @hzg40133 жыл бұрын

    what a legend!!!

  • @jackcuervo2262
    @jackcuervo22622 жыл бұрын

    Wow Ian is awesome!

  • @arielgamboavazquez4250
    @arielgamboavazquez42505 жыл бұрын

    Ianm you have always been a good fellow :v

  • @TusharKale9
    @TusharKale93 жыл бұрын

    GANs very well explained. Great examples too. Thank you very much. Tushar

  • @vikaspoddar9456
    @vikaspoddar9456 Жыл бұрын

    The Man, The Myth one n only Ian Goodfellow

  • @saikrishnapujari
    @saikrishnapujari3 жыл бұрын

    As this guy is now with Apple, any influence on their Memoji and Animoji or their Camera improvement using GAN ?

  • @lorforlinux
    @lorforlinux5 жыл бұрын

    26:50 - 28:10 is the best part

  • @zrmsraggot

    @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.

  • @zheqingzhang6136
    @zheqingzhang61364 жыл бұрын

    Abstract Expressionism 19:23

  • @bingeltube
    @bingeltube5 жыл бұрын

    Recommendable

  • @igorcherepanov4765
    @igorcherepanov47656 жыл бұрын

    do already exist any approaches to solve the problem with counting?

  • @supreetkurdekar5726
    @supreetkurdekar57264 жыл бұрын

    Ian Goodfellow is Jim Halpert!!!

  • @generichuman_
    @generichuman_2 жыл бұрын

    19:36 one way to fix this, is to not use the Chernobyl data set.

  • @alexbarnadas
    @alexbarnadas3 жыл бұрын

    Where was it?

  • @quickpresent8987
    @quickpresent8987 Жыл бұрын

    how could this video "lan Goodfellow" are having less views than Siraj Raval video - * -

  • @vanglequy7844
    @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

    @phuccoiinkorea3341

    5 жыл бұрын

    cha hieu gi ong a =))

  • @redryan20000

    @redryan20000

    5 жыл бұрын

    Sounds pretty bad tbh

  • @generationai2211

    @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

    @agiisahebbnnwithnoobjectiv228

    3 жыл бұрын

    The objective function of animal brain and hence AGI is to maximize impact. You heard it first from me. gj

  • @MPXVM
    @MPXVM5 жыл бұрын

    9:14 - schrödinger's cat logic or Quantum state :) 50% - 50%

  • @Gabcikovo
    @Gabcikovo Жыл бұрын

    2:48 both players are neural networks

  • @Gabcikovo

    @Gabcikovo

    Жыл бұрын

    5:16

  • @Gabcikovo

    @Gabcikovo

    Жыл бұрын

    5:26 the goal of the generator is to fool the discriminator

  • @Gabcikovo

    @Gabcikovo

    Жыл бұрын

    5:30 eventually the generator is forced to produce data as true as possible

  • @Gabcikovo

    @Gabcikovo

    Жыл бұрын

    Uhrik and Putin cried bitter tears

  • @Gabcikovo

    @Gabcikovo

    Жыл бұрын

    3:10 one of the players is trained :) to do the best as possible on the worst possible input

  • @robelle1357
    @robelle13573 жыл бұрын

    Everything was great except for the QA session. The questioner was rude.

  • @jackq2331

    @jackq2331

    Жыл бұрын

    Not really,his question help us think.

  • @catsaresocute650
    @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.

  • @tzywg3399
    @tzywg33993 жыл бұрын

    Down voters were scared by the fallout cow.

  • @wiiiiktor
    @wiiiiktor5 жыл бұрын

    i like Ian, but it's hard to follow his mundane voice tone ...

  • @stonetech1000

    @stonetech1000

    5 жыл бұрын

    I think his voice is just fine

  • @p.z.8355

    @p.z.8355

    4 жыл бұрын

    hes a robot ;)

  • @prathyusha5393

    @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

  • @kicksessentials7
    @kicksessentials73 жыл бұрын

    The narrow wren analytically share because tortellini similarly smile upon a telling domain. unkempt, charming veil

  • @kulturfreund6631
    @kulturfreund66315 жыл бұрын

    This is something for really intelligent people, not for me.

  • @BiancaAguglia

    @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

    @DeViLTh0rn

    4 жыл бұрын

    @@BiancaAguglia i like your positive comment, do you have twitter?

  • @JousefM

    @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

    @BiancaAguglia

    4 жыл бұрын

    @@JousefM True. 😊

  • @shubhamchandra9258

    @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.

  • @WaterMelonHead9922
    @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

    @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.