Heroes of Deep Learning: Andrew Ng interviews Andrej Karpathy

29 thoughts on “Heroes of Deep Learning: Andrew Ng interviews Andrej Karpathy”

1. The energy present in this discussion is fantastic. Thanks for sharing.

2. Andrew Nj and Andrej in the same video, this will go down in history!

3. I wonder what will happen if Andrej would cite a story to a toddler…
   Great Lecturer!!(Really enjoyed CS231N)
   Thank you..

4. when AI god speaks …

5. 12:55 best part. Whatever his idea is, it's probably right. But why no question about Tesla? not even high level?

6. Someone better slow down his tongue please

7. Very insightful. At 10:15 the split of AI is interesting

8. 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

9. Andrej is less confident than he was in cs231 class but cuter for his humbleness in this interview without any direct gaze to camera 😀

10. 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.

11. human benchmark lol

12. DFS, BFS, Alpha-beta pruning……. Exactly! Even undergraduates are taught these things. It's nowhere near what is actually happening in machine learning.

13. This guy talks fast!

14. 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…

15. I turned it to 1.25x as usual, and I had to switch back to 1x ?

16. This guy talks fast, and is smart. I talk fast as well, so I guess I must be smart too! K.n.e.w i.t.!!!!

17. hang on… but had he actually trained himself on that dataset, he would be performing better than ML

18. "… 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?

19. Warning !! real time of video is 20.1333333333 🙂

20. Tesla AKnet

21. Andrej is the mind behind Tesla autopilot.

22. he talks so fast!

23. Would love to see him speak with Elon!

24. 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!

25. Andrei seems to have social anxiety

26. Humbling to hear people who are way smarter than us

27. 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.

28. 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?

29. 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. 🙂

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