Andrew Nj and Andrej in the same video, this will go down in history!
@selva2793 жыл бұрын
It would have been complete if Chris olah also joined them
@jorjiang1Ай бұрын
stop cheerleading and code yourself
@aitarun6 жыл бұрын
I have to listen Andrej part at 0.75 speed. :)
@gianluke6 жыл бұрын
I've checked a couple of time the youtube settings because I thought the video was accelerated :|
@quietbydayYT6 жыл бұрын
Yes, the sign of a brain limited by the bandwidth of speech. lol
@SaiFi01026 жыл бұрын
Haha, it sounds much better 0.75 :'D
@itttottti6 жыл бұрын
hahaha, show and gone
@pakigya6 жыл бұрын
Thank you. I was watching at 2x speed before lol
@nickang66476 жыл бұрын
Prof Andrew is a really humble person! Thanks for taking the time to interview and share this. 13:02 - Advice for people thinking about entering the field of AI, deep learning
@saikrishnaklu6 жыл бұрын
Thats an amazing reply #13:02
@curioussand13396 жыл бұрын
Andrej Karpathy talks in such a way that I briefly thought I had the clip running @ 1.25
@blueborne40314 жыл бұрын
Both of these people are my heroes. I would not have gone into deep learning without them
@WhenIMetTheWorld6 жыл бұрын
Andrew Ng is my hero .... He motivated me the first time from his lecture series on Machine learning
@HarshitMalik5 жыл бұрын
Well said bro!
@ArunSharma-de7mk5 жыл бұрын
Truth has been spoken :)
@anshikakhandelwal26335 жыл бұрын
Ayushman, if you've learnt the art, start transferring it.
@imdadood57052 жыл бұрын
Are you still in this field?
@bellaggio17705 жыл бұрын
Humbling to hear people who are way smarter than us
@morebaie34124 жыл бұрын
What an amazing interview! Andrej Karpathy is making a great work intersecting NLP with computer vision, it's a huge move in the AI era.
@mynameisZhenyaArt_6 жыл бұрын
thanks for preserving knowledge :)
@kssreesha3 жыл бұрын
This has some of the best insights !!
@mdougf5 жыл бұрын
Thanks for this interview, Andrew; you're the man. And hello to my fellow learners! Is anyone interested in starting a weekly machine learning research paper reading and discussion group with me?
@fabianmarin85149 ай бұрын
The two folks from which I've learned the most about AI. Thanks so much!
@inilahsaltakadnak6 жыл бұрын
Very insightful. At 10:15 the split of AI is interesting
@preethamgali30233 жыл бұрын
Exactly, implementing from scratch does help one to understand better.
@cupajoesir6 жыл бұрын
The energy present in this discussion is fantastic. Thanks for sharing.
@vladimirbosinceanu57782 жыл бұрын
It's amazing how we can perceive honesty/passion and how we can resonate with it. Thank you Andrew and thank you Andrej!
@shubharthaksangharsha6248 Жыл бұрын
2 legends in one frame
@vq8gef3219 күн бұрын
He is a real hero, I am watching his lessons : Love + AI === Andrej
@dciug6 жыл бұрын
until 1:40 YES! That is exactly how I felt during the AI class that I took. I really thought that those methods do not deserve to be named AI. NNs and Boltzmann Machines are what really got me started into this field. I can do this all day and not feel tired, and that's awesome.
@rajatrao56324 жыл бұрын
Important statement Andrej made was " we truly understand the library/things that abstract away many low level complex things..when we once are in a position to write something from scract low level and then we will be comfortable to use the libraries who are doing the same and modify " truly a great statement
@adityasoni1216 жыл бұрын
I wonder what will happen if Andrej would cite a story to a toddler... Great Lecturer!!(Really enjoyed CS231N) Thank you..
@guestimator1216 жыл бұрын
+Aditya Soni "..Cooncretely, Hansel has put all the pebbles in his pocket in a way... well, you really don't need to know all of the details of how did he do it to understand the rest o the story, the important thing for you to understand was that he had pebbles in his pocket..."
@sarahjamal865 жыл бұрын
Well he is my hero as well ... because of him I could understand the concepts and implement them before moving to use tensorflow and pytorch. Thanks Karpathy, your contributions to the CS community are so valuable. :-)
@phillaysheo8 Жыл бұрын
Women who like ML are hot 🤩
@ChandlerRandolph-yc5re8 ай бұрын
very informative!
@motiurrahman6 жыл бұрын
Such a cool interview - the mentor interviewing the mentee.
@5gururaj56 жыл бұрын
I turned it to 1.25x as usual, and I had to switch back to 1x 😄
@AnkitBindal976 жыл бұрын
DFS, BFS, Alpha-beta pruning....... Exactly! Even undergraduates are taught these things. It's nowhere near what is actually happening in machine learning.
@bntagkas3 жыл бұрын
i have to listen to this at 1.25 speed only instead of usualy 1.5 or 1.75, nice
@myspacetimesaucegoog56326 жыл бұрын
I'm super keen to hear how Andrei's ideas for an overall "just learn everything about everything" type AI progress. I kind of imagine a "baby" AI system following humans around watching imitating absorbing and learning - somehow., gradually growing up...
@BrutalStrike2 Жыл бұрын
Now Andrej made own mini course on his KZbin
@maciejbalawejder18192 жыл бұрын
10:57 - but that's exactly tesla's approach to self-driving, creating separate models and merge them together
@YULi-qf1wq6 жыл бұрын
Andrej is less confident than he was in cs231 class but cuter for his humbleness in this interview without any direct gaze to camera :D
@malikhamza92863 жыл бұрын
This is the first video I haven't watched in 1.25 or 1.5x
@michaellidster13894 жыл бұрын
Heroes hey
@ehfo5 жыл бұрын
he talks so fast!
@randywelt82106 жыл бұрын
Can please explain anyone ctc loss and beam search decoding in numpy? That is implemented in tensorflow, but it is really hard to understand what is going on.
@dgimop6 жыл бұрын
In case you have not yet figured this out: I skimmed over the CTC paper, cited by tensorflow, for a minute. Are you talking about how CTC works as a whole or only about how the cost/loss is calculated in the softmax (output) layer, as in how the loss function works for this classification algo? I can give some pointers on what I understood about the latter. My explanation might be either naive or complicated, depending on how deeply you understand ML. CTC calculates the cost of an error using the principles of maximum likelihood estimation (MLE). In particular, 'minimising it [the cost function] maximises the log likelihoods of the target labellings' - as the authors say. To label the output, it uses one extra unit in the softmax layer than the number of output labels, unlike traditional methods that use as many output units as there are labels to classify. The extra unit is reserved for observing a 'blank' or 'no label' class. If my understanding is correct, this gives the algorithm some breathing room to skip over labelling the data that is does not understand correctly and save it for later (?) rather than falsely classifying it as one of the labels because it was forced to do so. Couldn't get the time to learn about beam search decoding :)
@benitoteehankee30146 жыл бұрын
"... not decomposing but having a single neural network, a complete dynamical system, that you're always working with -- a full agent. The question is: 'How do you actually create objectives such that when you optimize over the weights to make up that brain, you get intelligent behavior out?' " Really interesting. That sounds a lot like the goal of teaching human beings, too. How do you teach without decomposing knowledge into subjects and teach from a holistic point of view?
@stock995 жыл бұрын
Benito Teehankee this question is the best part of the entire interview to me. Good question is half of the answer. Digging into it.... Very interesting..
@6thHorseMan6 жыл бұрын
Start out with what is under the hood and build your knowledge from there. To fully understand ML you can't just be a library user.
@hasnainabbasdilawar88326 жыл бұрын
This guy talks fast!
@relganz46636 жыл бұрын
12:55 best part. Whatever his idea is, it's probably right. But why no question about Tesla? not even high level?
@MartinLichtblau5 жыл бұрын
Our biggest fallacy: if we model each human ability by hand we will have a AI. Same fallacy was committed before with feature modelling. Today we know better. Or at least we thought so..... unreflected we are!
@markhofstede5 жыл бұрын
Would love to see him speak with Elon!
@godspeed1333 жыл бұрын
He now works for Elon (maybe he had started by then and you knew(?))
@KaiyuZheng4 жыл бұрын
I actually didn’t set the speed to 2
@israelabebe12976 жыл бұрын
what course is he talking about?
@taylordelehanty80086 жыл бұрын
Israel Abebe they're talking about the Stanford course here cs231n.stanford.edu
@realGBx645 жыл бұрын
It is so weird for me when they emphasize the importance of knowing the basics. InEastern Europe we learned almost everything from bottom up. I had abstract maths before calculus, wrote algorithms on paper, calculated matrix determinants by hand, etc.
@omeryalcn57976 жыл бұрын
Warning !! real time of video is 20.1333333333 :)
@-mwolf Жыл бұрын
10:55
@dvm5096 жыл бұрын
when AI god speaks ...
@BrianBull6 жыл бұрын
Tesla AKnet
@phillaysheo8 Жыл бұрын
"It's not rocket science or nuclear physics" 😀 "You just need to know linear algebra and calculus" 😔
@dixingxu6 жыл бұрын
human benchmark lol
@rubixcom6 жыл бұрын
hang on... but had he actually trained himself on that dataset, he would be performing better than ML
@Jerry-yy1qy4 жыл бұрын
说话速度有点快
@user-wo5ie9hk1o4 жыл бұрын
А почему такое всратое качество в 2017-м году?
@tianshiliao53726 жыл бұрын
Just not a big fan of udemy ML ads.. spent 20 hrs on it without learning the proper definition and math expression of cost function.. what a waste of time I have to say
@dgimop6 жыл бұрын
The course Andrew NG was talking about is in Coursera, not Udemy, if I understand your concern correctly. This is a brand new specialization. However, the best available Machine Learning course online, in my opinion, is Andrew NG's own course titled 'Machine Learning'. It's absolutely amazing, very detailed and free. It is probably the very first online ML course. I dropped out of a grad course at the university and spent that entire semester on this course. It eased me into my grad research.
@surfermx2 жыл бұрын
Mercedes-Benz is already level 3, while Tesla is just level 2, this weirdo seems has no noticed it yet
@Tom-ku8bu Жыл бұрын
Mercedes is only level 3 on certain situations on the highway but Tesla is on the way to be highest level on any road and every situation. The computer of the Tesla's are probably more powerful than of Mercedes. But why do you mention it on a video that is 5 years old? At that time Mercedes was no where with self driving and in Tesla's it was already an early not so good version available. Now fsd beta gets every update better and is already pretty amazing how it handles heavy traffic in cities which Mercedes can't.
@CorporateDrone2 жыл бұрын
It isn’t obvious to me that Andrej is not a genius
@samahirrao6 жыл бұрын
Andrew Ng does not feel like a good person.. Kind of started hating him. But his research is no doubt great.
@Samir_Zope6 жыл бұрын
Why is he not good person?
@reetigarg73986 жыл бұрын
R1nz0R I think it's largely because of the way he interacts with others. But I think you're mistaken there, he might come across as not a good guy when he actually is.
@Samir_Zope6 жыл бұрын
Reeti Garg imo he actually seems like a kind person but ok xD
@myspacetimesaucegoog56326 жыл бұрын
Gosh I thought Andrew seems an extremely good person, watching him in this video.