45 پاسخ به “چگونه کامپیوترها یاد می گیرند اشیاء را فوراً تشخیص دهند | جوزف ردمون”

1. I like it how all maniacs use misleading examples like "self driven cars" instead of just stating the truth: we need this kind of technology for instant face recognition for mass surveillance. Good job "Washington University graduates" from all over the world!

2. maybe they should put someone else in charge to name things

3. 3:22 skateboard

4. hooman detected. must kill. hooman.

5. i wonder why kinect died
   and youtube AI gets more weapons

6. 3:22 Computer thinks there's a skateboard there 🙂

7. point it out some mmore 2 late yet ?

8. A stop sign is a freisbee. A parot is a person. Detects backpack where there is not a backpack. Pretty good, but I wonder how current state of the art systems perform.

9. "thanks for putting this into the public domain free for anyone to use" – China.

10. Where can I download this application?

11. – Doctor: Let's try this in the body
    – AI: I found a suitcase

    I'm joking, very good work ! Thank you

12. Asta-i Bara?

13. Of course this is really amazing, but I do find it funny that at certain points the system thought a parrot was a pizza, a stop sin was a frisbee and a tripod was skis :p

14. hold da phone, is that obama?

15. 3:10 detect "remote" in the arm

16. he went fullmetal alchemist on his presentation

17. 3:22 it said skateboard

18. 5:42 Parrots are now Teddy Bears. Change my mind because you cant

19. This audience is so horrible.. urgh…

20. China took it and built an advanced facial recognition system. Thanks, Darknet!

21. Spends 7 minutes, never actually says how they work, except that his works well . I want my 7 minutes back.

22. the damage that can be done to segregate societies and track people is crazy real.

23. 5:42 does the system just recognize a parrot as a teddy bear?

24. To many people we need a new plague

25. Awesome! Thank you for making it open source.

26. wow, amazing, It's really impressive matter!

27. 3:22 says "skateboard" on the shoes. slow it for x25 and you'll see it. lol.

28. This guy thinks it is funny to give evil names to artificial intelligence. Wait a few years to see who will be laughing.

29. When this system become popular, we wont need to do the Google capcha

30. Myślałem że to Carrioner xD

31. he probably works for FBI and scanned all the public to track them and sell their information on dark web

32. So…how it works?

33. He was waiting for a laugh at YOLO… Over 2 years later, he is still waiting.

34. 3:22 skateboard lol

35. Oh damn – it sort of pains me to see how people (the audience) struggle to see the awesomeness and achievement of this person. He probably could have lit a fart for more total applause.

36. The terminators will definitely use some version of his code

37. Wonderful explanation. The computer vision is one of the great challenge in Robotics and anonymous vehicles, this algorithm will act most appropriate like the biological model vision. It is going to strive its effort in Pathology domain as well…

38. Here, We discuss about the Google's awesome feature called Google Colab, Google Colaboratory and Colab Notebook. We give you information about What is Google Colab ? and also discuss the What is Google Colaboratory Notebook ?
    
    https://www.techfoul.com/2019/10/google-colab-what-is-google.html

39. Easier to stalk your crush now – what a time to be alive.

40. only one question: How computers learn to recognize objects instantly?

41. I was looking for the Genius and I found the Alien.

42. Watch it's final result by me:
    https://youtu.be/F8-6kqiT0ps
    (TUTORIAL SOON)

43. what if we want to target only one particular person and ignoring others???

44. Mind blowing!

45. And yet the computer still can't tell the difference between a cat and a dog without having been trained on the specific differences to express beforehand, meaning the misleading example that motivated the talk still doesn't work. Else, a good talk.

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