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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. Denny Britz‏ @dennybritz 14 Nov 2018

      Tensorflow 2.0: models migration and new design https://buff.ly/2zvL9oI  Great overview of upcoming TF changes. Personally I agree with the author and I'm not a huge fan of eager mode either. Is it just because I'm used to thinking in terms of a graph? Is eager really superior?

      11 replies 72 retweets 183 likes
    2. François Chollet‏Verified account @fchollet 14 Nov 2018
      Replying to @dennybritz

      I think graphs are the correct mental model and API for deep learning -- but not graph of ops like a TF graphdef, instead, graph of layers. Recursive graphs of high-level building blocks. Which is also how deep NNs are visualized in pretty much every paper or textbook ever...

      2 replies 1 retweet 24 likes
    3. George Davis‏ @georgebdavis 15 Nov 2018
      Replying to @fchollet @dennybritz

      Could part of the middle ground be something akin to a type system for layers/blocks, to both aid composition and automatically check for "correct" compositions of high level abstractions?

      1 reply 0 retweets 1 like
    4. François Chollet‏Verified account @fchollet 15 Nov 2018
      Replying to @georgebdavis @dennybritz

      We have that, and it's a lot more advanced than static type checking. Any Keras model that compiles will run. If it's only made of built-in layers.

      1 reply 0 retweets 1 like
      François Chollet‏Verified account @fchollet 15 Nov 2018
      Replying to @fchollet @georgebdavis @dennybritz

      And compilation errors (assumption checks) are designed to produce helpful and actionable error messages

      6:44 PM - 15 Nov 2018
      0 replies 0 retweets 0 likes

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