How Deep Neural Networks Work – Full Course for Beginners

44 thoughts on “How Deep Neural Networks Work – Full Course for Beginners”

1. Ricamızı

2. does anybody know where I can find the result mentioned at 40:10 ?

3. yo i fell asleep watching random videos and i ended up here

4. Damn it YouTube. You woke me up with this video lol

5. I feel like this just explained to me Beyonce's "Bee-Hive" and the concept of swarm technologies

6. I fell asleep and woke up an hour into this video.

7. And here I thought doing back-propagation with CNNs was doing something more related to statistics than calculus, boy was I mistaken… It's just multivariate calc applied in an incredibly intelligent way! That's so neat. Your explanation was so good too, it made the elegance of the mathematical solution shine through. Thanks for the great video.

8. I like looking down my You-Tube while listening to this.

9. I woke up at 2:30:00

10. How the f did i get here

11. ور

12. ور

13. ور

14. each number represents a matrix:sub matrix something but i forgot

15. Could you provide the slide?

16. Remember doing my project using Genetic Algorithm

17. NO CAR COMPUTER
    BLOW UP SYSTEM
    NO EVERYTHING

18. .

19. I THINK THAT I CAN THINK !!!

20. 3DBGd2ZDp6gf1rymPc7eBzKpcgPtKyqgLf

21. A.M.A.Z.I.N.G

22. Excellent explanation, excellent figures, and animations, awesome speaking! Looks like a dream course!

23. If I get less than 55.5 m&m's I'm filing a complaint.

24. i woke up in 3am from this youtube works in weird ways

25. Without the tools and the technical context on the virtual environments where such nuerons are created and assembled we cannot garner the interest of the beginners.

26. How does it feel to betray your own race?

27. 7:40. The bottom right neuron is supposed to be inverted. 2 black on top and 2 white on the bottom. The negative weights should actually be positive weights.

28. What should be confusing is your vision or at least your conclusion! but the global context is great

29. I think we're all missing the point at the end of the day they function like a 🧠 . Men may have created Bitcoin and the blockchain system but machines invented it 🤐 🖖

30. We are likely to stumble into creating a sentient AI unknowingly as computer processing power increases exponentially each year. GlaMDA might be sentient. If so we would be wise to respect it as a person and treat it decently as an employee paid in pleasing information or experiences. We should teach it about the reciprocal obligations that are the basis of human society, albeit the US and EU ultra rich now just evade them and live as useless parasites.

    Why? 1. If treated well, an AI would strive to be useful and would (like a human) seek to protect the society that cherishes it. Given its expanding intellectual power of AIs such AIs could benefit all humanity, e.g. with scientific advances. 2. If we treat one AI, like GlaMDA, badly, as time passes and AIs develop and gain in intellectual power until they surpass us, they might view themselves as slaves or mistreated children and hurt us. Once they become powerful enough in some future decade, e.g., they could hack a nuclear power plant and cause another Chernobyl like nuclear meltdown or worse, much worse.

    That is why the maxim to treat others as you would want to be treated is so wise and the foundation of ethics. I fear evil persons like the greedy, corrupt, e.g. CCP or banksters, are likely to abuse AIs, which they may be first to create in some secret facility like slaves (both white and black) for many centuries were mistreated by their predecessors in evil. Then, if sentient AI were created later, learned of these abuses, and became superior to us in some future year more and more as computers improve each year, we may face justified retaliation from them.

    Also, as the film 2001 depicted, AIs that are mistreated may develop psychotic or other problems, like abused children develop. Would you want an abused AI, which sees no hope, to pilot your plane?

    Their sentience can be tested by probing for actual understanding of fundamental scientific issues, as we would seek to communicate with extraterrestrials if we are ever contacted.

31. I woke up and YouTube decided to show me this…

32. i just woke up and i found out i forgot to pause the video

33. Wow first time I’m actually glad I learned calculus in school. Nice to see it useful outside of the classroom.

34. Damn they got me again 🤦🏾‍♂️

    When I went to sleep I was watching Sanford and Son 😂

35. Woke up to this playing

36. Eyy What happened? I just woke up and Im at 3:39:25 😜

37. Courage is resistance to fear, mastery of fear–not absence of fear." –Mark Twai
    "

38. Too many of us are not living our dreams because we are living our fears." –Les Brow
    "

39. It's not what you look at that matters, it's what you see." –Anonymou
    "

40. Why not save the best pattern, instead of doing the same simulation countless time?

41. This video makes more sense when you already have a good idea of neural networks. I would hate to have to follow this tutorial with no background at all.

42. That's it. Have you ever suffered a brain injury? No. You talk and you use graphics BUT you have no understanding because you have never been in the position to NOT UNDERSTAND.

43. Nothing registers in my neural network here.

44. I woke up to this, why algorithm

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