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And still the building collapse

Love the little laugh at 12:58

00:05 Ian Goodfellow's journey into deep learning 02:02 Ian Goodfellow innovated GANs for generative modeling. 03:51 Goodfellow's determination to make his idea work paid off. 05:37 Games are at an important crossroads in deep learning 07:28 Importance of mastering basic math for deep learning 09:18 Evolution of AI and Deep Learning 11:19 Entering AI field without needing a PhD. 13:06 Importance of building security into machine learning algorithms from the start Crafted by Merlin AI.

I didn't know it was dog network.

This man is great ❤

He is a real hero, I am watching his lessons : Love + AI === Andrej

Two amazing teachers !

I dont even think about russia

Set playback speed to 2x to fully understand what is happening in Andrej's brain

bad presentation...fast, sloppily speaking

Great talk. Super underrated

Looks like it greatly outperforms LSTMs, so I wonder what's keeping it from being the next gold standard. Also bit of a shame it only blew up after Transformers replaced RNNs for mainstream purposes. With the recent surge of graph nets and massively multi agent learning, hope it'll get another chance to be used

I watched the video as a part of Deep Learning Specialization. Sadly, it's way way over my head to comprehend much of what was said in the video.

the good old days when Musk wasn't a total nutjob

Best research advice ever!! "Read the literature, but not too much of it."

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

You give what is a gem to the people around the world Sir Salute from Cambodia

Thanks you so much Dr.

Hey And , Do you still accept donations by any chance, I am hoping for 720p videos from now on.

very informative!

Missiles making

Great legends are talking on great things.

I so agree with Hinton: have an idea and go for it. I took this approach with something other than AI, but it also worked. What do I mean? I mean, even though my idea wasn't revolutionary and totally worthwhile, I LEARNED A LOT by just going for it and programming the heck out of it. The practical experience I gained served me well--very well--in my first jobs. Remember: your purpose is to learn, and you can do that following your intuition--which is fun--or following someone else's--which is less fun.

The two folks from which I've learned the most about AI. Thanks so much!

I think the difference between wake and sleep is during sleep it is in the testing phase and during wake it is the operative phase of learning.

This is amazing concept, we’re keeping borrowing solutions from biological systems, but no wonder, they had million of years to solve all those problems before us already

Seriously doubt Geoffrey Hinton considers himself a hero - more like Dr. Frankenstein now. He's doing his part to spread the word on the dangers of reliance on AI.

Great

Another way I learned to do textual substitution would be the same as saying x[x := (x v x+1)][ x := (x v x+1)] in which case you would get the first substitution (x v x+1)[ x := (x v x+1)] Then the second substitution (x v (x) +1) v (x+1 v (x+1) +1) Then combining and removing unnecessary parentheses and repeated x+1 gets the same value as the video x v x+1 v x+2

It took me a month to fully understand everything he discussed in this presentation (at a high level). I think this is the future. Would love to hang out and discuss if anyone is in Toronto.

I've never herd someone speak so passionately about starting at 0

So basically you guys are utilising the fleet for getting varied data and also ensuring if the model works fine and if it fails then again quickly train the model on those groups of datasets to make the model more robust!!! Interesting However how far are we from the moment where we kind of act well as humans do with just very few datasets ??? Cuz what we are doing is statistical inference on the basis of large datasets ! So it's basically good datasets and good compute as mentioned earlier

Maybe the cake... wasn't a lie

Genius play respect to genius.

What a charlatan, Elon Musk! This guy is basically full of BS, knows absolutely NOTHING about AI other than basic, layman info, yet he finds himself everywhere, pretending to know things. The real founders of Tesla talked about his ego and attention seeking mindset.

10:58 global community

Excellent interview. Down to earth, straight, and lot of information in this interview. Great work Andrew Ng with your contributions.

Parachuting in from the future to confirm that we have now unleashed this alchemy onto the public in pursuit of seed capital. What a time to be alive...

2:48 both players are neural networks

Walt and Gale vibes

38:10 a thought is just a great big vector of neural activity

35:08 our relationship to computers has changed.. instead of programming them, we show them, and they figure it out

18:00 2007 ignored Hinton and Bengio picked it up layer on

0:19 Godfather 😎

Geoff Hinton is legendary

2 legends in one frame

Wonderful, always a pleasure to hear you speak!

So much intuition.

10:55

What an amazing presentation! Thank you