François Chollet on Twitter: "If you're a deep learning research looking for an introduction to what TF 2.0 has to offer, check out this notebook guide I made in October. https://t.co/k694J95PI8"

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1. François Chollet‏Verified account @fchollet 9 Dec 2019
  Researcher*
  
  1 reply 1 retweet 24 likes
  
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1. Lavanya‏ @kempchutney 9 Dec 2019
  Replying to @fchollet
  
  Thank you Sir, for making all the resources open source. It means a lot to all of us getting an introduction to Deep Learning. My heartfelt gratitude.
  
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1. chansung‏ @algo_diver 9 Dec 2019
  Replying to @fchollet
  
  I made it in Korean version too. Thanks for sharing such a nice material! One of the best..!https://colab.research.google.com/drive/1p4RhSj1FEuscyZP81ocn8IeGD_2r46fS …
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1. Emanuele Lapponi‏ @emanlapponi 9 Dec 2019
  Replying to @fchollet
  
  1 - journalist reads tweet w/ typo 2 - "AI researcher addresses AI directly on Twitter, suggests AI should learn to train other AIs"
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1. Facundo Calcagno‏ @fmcalcagno 10 Dec 2019
  Replying to @fchollet
  
  Can you give me another advice (similar to the one you gave me in Paris) regarding how to work with tf.Distribute when my data does not fit in memory (I’m using TFRecord) ? Is the use of .cache(), .prefetch() and AUTOTUNE really necessary?
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1. Mouad Riyad ( )‏ @MouadRiyad 10 Dec 2019
  Replying to @fchollet
  
  Merci bq
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1. Rayed Bin Wahed‏ @rayedbw 11 Dec 2019
  Replying to @fchollet
  
  Great notebook. I learn something new every time I read it. Fabulous!
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1. Oliver Zeigermann‏ @DJCordhose 15 Dec 2019
  Replying to @fchollet
  
  Great resource, but I am wondering: in forward pass, shouldn't you do: model(x, training=True) and shouldn't you also propose to encapsulate the training in @tf.function?
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