機器學習零到英雄（Google I / O＆＃39; 19）

26 comments

1. Nailed it

2. Very good explanation of lots of thing about machine learning

3. I like it! Super! Keep Going!

4. Second part is really bad commercial

5. Thanks

6. Love it ml…. ❤️❤️❤️❤️❤️

7. Does anyone have a simple weblink to the slides and source repo? Thanks

8. Thanks for the quality presentation! Really helps understand the process behind TF

9. This is the best artificial intelligence video available. Great explanation. Thank you Google Team.

10. This is excellent! this demonstrates how ML is just a more advanced version of software and not some magical energy that will become an overlord but more importantly gives us the foundation to learn the essential to get into building apps with TensorFlow

11. In collage, i learn about Fuzzy Logic, the program neural network in this video is like perceptron. Am i right?

12. @laurence Moroney Can you please share complete code with us ? You are very good professor . Which course on Coursera that you teach to enroll later ?

13. good

14. good

15. Really enjoyed the cat speech !

16. This was just amazing

17. I need the right code

18. Imagine using this amphitheater for a rock concert!
    anyhow Im now switching from pytorch to tensorflow

19. Why 512 in the 2nd line of the model code? How do I decide on this number? How to decide on loss and optimizer?

20. amazing, this is pure genius, if you want to learn more, look for tensor flow coarse on coursera

21. God ! That screen ❤️.

22. I'm not understanding why the 150×150 image be omes 148×148.

23. Very enlightening talk.

    How long an ML noob like me who is rather experienced Android Kotlin dev would take to create a similar image recognizer app?

24. Wow

25. Unrelated. But I was in the hospital as my baby daughter was being born as this event was occurring 🙂

26. 14:20 why isn』t 226 taken if that is the highest number out of all 4

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