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fchollet's profile
François Chollet
François Chollet
François Chollet
Verified account
@fchollet

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François CholletVerified account

@fchollet

Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.

United States
fchollet.com
Joined August 2009

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    1. François Chollet‏Verified account @fchollet 28 Jun 2019

      François Chollet Retweeted Aakash Kumar Nain

      Glad to hear :) We're now working hard on extensions ranging from hyperparameter tuning, autoML, preprocessing layers, easier distribution, easier deployment, and more. Work is never over.https://twitter.com/A_K_Nain/status/1144615884855500800 …

      François Chollet added,

      Aakash Kumar Nain @A_K_Nain
      In the last few days, I used almost all the major DL libraries for some task and here is my conclusion: Keras has still the best API to date.
      5 replies 28 retweets 228 likes
    2. Behrooz Azarkhalili‏ @Azarkhalili 28 Jun 2019
      Replying to @fchollet

      Thanks François for your great contribution in #deeplearning domain. Do you have any idea of supporting #Tf2 in #Keras. I've know that tf.keras may be better option and I'm utilizing it in my projects and packages, but some of other package is only written in pure Keras.

      1 reply 0 retweets 0 likes
    3. François Chollet‏Verified account @fchollet 28 Jun 2019
      Replying to @Azarkhalili

      Multi-backend Keras will support TF2, in fact you can already check out the branch `tf-2` which does just that. However if you want to use TF2 features I would strongly recommend switching to tf.keras.

      1 reply 0 retweets 0 likes
    4. Behrooz Azarkhalili‏ @Azarkhalili 28 Jun 2019
      Replying to @fchollet

      So do hyper-parameter tuner and other features for pure #Keras can be employed in tf.keras of #TF2 as well?

      1 reply 0 retweets 0 likes
      François Chollet‏Verified account @fchollet 28 Jun 2019
      Replying to @Azarkhalili

      tf.keras implements the same Keras API you already know. If your workflows are TF-based, you should use it.

      9:48 AM - 28 Jun 2019
      1 reply 0 retweets 0 likes
        1. Behrooz Azarkhalili‏ @Azarkhalili 28 Jun 2019
          Replying to @fchollet

          Gotta👍 thanks

          0 replies 0 retweets 0 likes
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