Introduction to Tensorflow & Keras for Deep Learning with Python (3.2)




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An introduction to TensorFlow 2.0 with Keras in Python. This video sets the foundation for the rest of the course by introducing TensorFlow and how it is accessed with Python. Keras is demonstrated as a higher level abstraction for deep neural networks.

Code for This Video:
https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_03_2_keras.ipynb

Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/

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Comment List

  • Jeff Heaton
    November 29, 2020

    Thanks Jeff. Great work!

  • Jeff Heaton
    November 29, 2020

    Dear Dr Heaton
    When i'm running the code on pycharm i have this result,
    I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX

    @
    Jeff Heaton

  • Jeff Heaton
    November 29, 2020

    Thank you very much! just one question left. U trained the model with training dataset x and then used this model to predict output of x? As far as I know u should use another dataset called test dataset to evaluate your model after training phase.

  • Jeff Heaton
    November 29, 2020

    Can someone help me, why did he generate dummies in y 14:34?

  • Jeff Heaton
    November 29, 2020

    Thank A Lot Mr Jeff Heaton, I am From Indonesia it is chanel is realy the best, and I am glad get found this chanel and I can learn Deep Learning more, Thank Mr a

  • Jeff Heaton
    November 29, 2020

    you are my hero!

  • Jeff Heaton
    November 29, 2020

    hello sir, can you explain backpropagation with formula in simple manner ? thank in advance

  • Jeff Heaton
    November 29, 2020

    hello Jeff Heaton i already have tensorflow 2.0 should i upgrade to 12 as seen in this class

  • Jeff Heaton
    November 29, 2020

    Hello Jeff and thank you for the videos. In the last example: NameError: name 'expected_classes' is not defined. I get the error on colab and on my local computer. Am I doing something wrong? expected_classes don't seams to exist anymore.

  • Jeff Heaton
    November 29, 2020

    Hi, Jeff, is it possible you can in include coding/using of transformer, elmo, bert, gpt2 etc?

  • Jeff Heaton
    November 29, 2020

    What a find that full-featured course from someone that knows what is saying with such a good material to follow.
    Keep on going with this awesome work, i really liked how you updated everything so that the course works well even with the changes and stuff. Let's see if now i'll be able to follow this and not do like with the 2009 version when it started to get difficult.

  • Jeff Heaton
    November 29, 2020

    Thank you so much for sharing the videos professor!
    How did you decide on the number of neurons for the hidden layers (25 & 10 for MPG dataset and 50 & 25 for IRIS dataset)?

  • Jeff Heaton
    November 29, 2020

    finally something on tf 2.0… thankYou!!

  • Jeff Heaton
    November 29, 2020

    This is the most underrated channel on YT. Thanks Jeff, very educational yet easy to follow videos.

  • Jeff Heaton
    November 29, 2020

    Dear Dr Heaton,
    Thank you for your work !
    I wouldn't know Machine Learning without your intriguing instructions

  • Jeff Heaton
    November 29, 2020

    Shouldn't the input Dimension be 7?

  • Jeff Heaton
    November 29, 2020

    Deep Learning for Java? I thought Java died and became strictly "maintenance" a decade ago.

  • Jeff Heaton
    November 29, 2020

    Thanks, Jeff!

  • Jeff Heaton
    November 29, 2020

    Can we have a more detailed video on tensorflow2.0 itself ??

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