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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. David Foster‏ @davidADSP 3 Aug 2020

      #keras question - what's the difference between model(test) and model.predict(test)? @fchollet #TensorFlow

      1 reply 2 retweets 8 likes
    2. François Chollet‏Verified account @fchollet 3 Aug 2020
      Replying to @davidADSP

      model() is like a layer call -- in-memory, single-batch, differentiable. Its input and output are tensors. Meanwhile, model.predict() is batched, not differentiable, and may be distributed. Its input may be a Dataset. Its output is a NumPy array.

      2 replies 4 retweets 47 likes
    3. François Chollet‏Verified account @fchollet 3 Aug 2020
      Replying to @fchollet @davidADSP

      Roughly, `predict()` is a `for` loop over the data provided, doing efficient (maybe distributed) inference for each batch, and packing the results into a NumPy array.

      1 reply 0 retweets 1 like
    4. Joao Lage‏ @_joaolage 3 Aug 2020
      Replying to @fchollet @davidADSP

      Is predict() batched when input contains numpy arrays instead of http://tf.data .Dataset?

      1 reply 0 retweets 0 likes
      François Chollet‏Verified account @fchollet 3 Aug 2020
      Replying to @_joaolage @davidADSP

      Yes, it is always batched and you can configure the batch size

      12:14 PM - 3 Aug 2020
      • 1 Like
      • Joao Lage
      0 replies 0 retweets 1 like

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