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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 1 Jun 2019

      About 10,000 deep learning papers have been written about "hard-coding priors about a specific task into a NN architecture works better than a lack of prior" -- but they're typically being passed as "architecture XYZ offers superior performance for [overly generic task category]"

      17 replies 158 retweets 708 likes
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    2. Thomas G. Dietterich‏ @tdietterich 1 Jun 2019
      Replying to @fchollet

      Can you give an example of the kind of thing you are describing? What is the "prior" knowledge? I think there is a huge gap between the language of architectural structures and typical languages for prior knowledge.

      1 reply 1 retweet 9 likes
    3. François Chollet‏Verified account @fchollet 1 Jun 2019
      Replying to @tdietterich

      I mentioned the example of bAbI. If you already know how to go from the input data to the answer, you can express the process as a parametric formula and have your network learn the parameters. Most of the work was done by you, not by your network.

      2 replies 2 retweets 23 likes
    4. Thomas G. Dietterich‏ @tdietterich 1 Jun 2019
      Replying to @fchollet

      Are you referring to the original bAbI paper, or a later one?

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

      You can rank every bAbI-solving paper by how closely the solution architecture maps to the data-generation template. It's basically the same as ranking by accuracy. This is true to most tasks outside of perception -- bAbI is just an extreme example.

      4:27 PM - 1 Jun 2019
      0 replies 0 retweets 0 likes

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