TensorFlow and Deep Learning without a PhD, Part 2 (Google Cloud Next ’17)


  1. Q World

    March 28, 2017 at 8:03 pm

    Thanks a ton, very informative session!

  2. Eric Graf

    April 11, 2017 at 6:52 pm

    Here is the Link to his github code https://github.com/martin-gorner/tensorflow-mnist-tutorial

  3. Hans Baier

    April 22, 2017 at 12:16 pm

    Excellent tutorial. Thanks for sharing!

  4. Rowan Gontier

    April 29, 2017 at 10:26 am

    Wonderful stuff.

  5. 大老表

    May 4, 2017 at 6:16 pm

    I feel too small, too much things to learn……

  6. August Karlstedt

    June 8, 2017 at 6:03 am

    Too bad; still getting a PhD 😂

  7. Ivan Cavattoni

    June 29, 2017 at 5:55 pm

    Why CELLSIZE is 512? Is there some reason you choose 512?

  8. kunwar singh

    July 21, 2017 at 8:19 pm

    good work Martin

  9. Gaurav Singh

    July 22, 2017 at 6:20 am

    After going through so many YouTube videos on Tensorflow, I stumble upon this amazing multi part video series and wow… each concept is explained so clearly in such a precise manner… Thanks a lot Martin!!
    Really looking forward to more such Amazing videos from you

  10. Darkarix

    August 6, 2017 at 9:53 pm

    What is the advantage of having a 3 layer network? if the minibatch sequencer has to follow the sentence it practically treats one layer at a time I don't understand how it is improving the training to have them connected, is it just to save computation power or there's more to it??

  11. Mona Chu

    September 2, 2017 at 3:32 pm

    If High School math, a simple linear equation can do such magic in TensorFlow, just think what would the mathematical knowledge of a Mathematician, Physicist, or an engineer would do for AI.

    Knowing Quantum computer is now in used, I am so excited and scared, just as scientists first heard an atomic bomb had been detonated.

  12. Ayman Shams

    September 28, 2017 at 10:42 am

    Is there a lab available for RNN?

  13. Fairuz Shadmani Shishir

    October 6, 2017 at 5:19 am

    very helpful

  14. Andrew

    January 12, 2018 at 10:16 pm

    Cool scarf bro

  15. Рудольф Зайдель

    January 25, 2018 at 11:30 pm

    Where is part 3? Or where I can find next? Tnx

  16. Wang Zhe

    May 13, 2018 at 9:38 am

    refer to 3:24, isn't it suppose to be softmax, but the computed probabilities doesn't sum up to 1 in your slide.

  17. Siddharth Kotwal

    July 28, 2018 at 3:57 pm

    Great tutorial, love the first principles thinking. I think this is the first time I've understood how the TF developers were thinking while writing these abstractions for RNNs.

  18. Martin Görner

    August 21, 2018 at 6:19 pm

    The code for all the "Tensorflow without a PhD" sessions is now in a single place on GitHub: https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd
    The series now has 6 sessions. You will find the videos and slide decks at the URL above as well.

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