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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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    François Chollet‏Verified account @fchollet 21 Sep 2017

    The belief that stacking layers deeper leads to better models is just a myth pushed by the big DL lobby to sell more tensors

    3:45 PM - 21 Sep 2017
    • 111 Retweets
    • 404 Likes
    • Emily Bryant Henry Eigen Tyler Kelley Ilya Dyachenko Data Science Briefly Russell Marsh ANU GEORGE Matt Fermin Vidhya Gholkar
    10 replies 111 retweets 404 likes
      1. Ragav Venkatesan‏ @venkatesanragav 21 Sep 2017
        Replying to @fchollet

        Rich Caruana will agree with this.

        0 replies 0 retweets 0 likes
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      1. فيصل السالم‏ @falsalem76 21 Sep 2017
        Replying to @fchollet

        you deserve the title: unrepentant hype buster.

        0 replies 0 retweets 0 likes
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      1. Cody Schneider‏ @codyschneiderxx 21 Sep 2017
        Replying to @fchollet

        I'm tense from being lied to.

        0 replies 0 retweets 0 likes
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      1. norman_h‏ @norman_h 21 Sep 2017
        Replying to @keunwoochoi @fchollet

        Models are acyclic and one dimensional, while inputs contain many dimensions.

        0 replies 0 retweets 2 likes
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      1. Benoit Rostykus‏ @99decisiontrees 21 Sep 2017
        Replying to @fchollet

        s/tensors/GPUs/

        0 replies 0 retweets 1 like
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      1. Robert Weißgraeber  💉  🇪🇺‏ @robert_we 21 Sep 2017
        Replying to @fchollet @MFAndreas

        pay-per-tensor?

        0 replies 0 retweets 1 like
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      1. Dhruv_‏ @Learning_DeepNN 21 Sep 2017
        Replying to @fchollet

        Learning in a model depends on how the indivisual neurons are connected and not how many of them are connected with each other...

        0 replies 0 retweets 0 likes
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      1. Dhruv_‏ @Learning_DeepNN 21 Sep 2017
        Replying to @fchollet

        True - Deep layers may not be actually needed in many applications...

        0 replies 0 retweets 1 like
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      9. New conversation
      1. Dhruv_‏ @Learning_DeepNN 21 Sep 2017
        Replying to @fchollet

        @fchollet ... Compact models with smaller number of layers are easy to intrepret.. They no longer remain a black box .. what do you say??..

        1 reply 0 retweets 0 likes
      2. Dhruv_‏ @Learning_DeepNN 21 Sep 2017
        Replying to @Learning_DeepNN @fchollet

        interpret*

        1 reply 0 retweets 0 likes
      3. Show replies

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