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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 Mar 2017

      Additionally, I'm skeptical that downlink bandwidth for thought transfer can be increased much with better tech. Speed reading doesn't work.

      4 replies 1 retweet 11 likes
      François Chollet‏Verified account @fchollet 28 Mar 2017

      I would guess the brain of a good reader in a state of flow is almost at capacity.

      6:33 AM - 28 Mar 2017
      • 1 Retweet
      • 4 Likes
      • Knut O. Hellan Greg Linden Drago Indjic/Инђић Paul Baumgart Elise Black
      7 replies 1 retweet 4 likes
        1. New conversation
        2. Thibault Jouannic‏ @thibaultj 28 Mar 2017
          Replying to @fchollet

          But could there be better ways to modelize ideas than linear strings of letters? That would be awesome!

          1 reply 0 retweets 1 like
        3. Peter Kurpinski‏ @londoncatblue 28 Mar 2017
          Replying to @thibaultj @fchollet

          yes, I have been dreaming about it for years too; semantic analysis + eye tracking device :)

          0 replies 0 retweets 0 likes
        4. End of conversation
        1. Carles Gelada‏ @carlesgelada 28 Mar 2017
          Replying to @fchollet

          True. I am unable to think much faster than I can read.

          0 replies 0 retweets 0 likes
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        1. iandanforth‏ @iandanforth 28 Mar 2017
          Replying to @fchollet

          I can think of several metrics along which that's incorrect, could you specify the one you're thinking about? What are your units?

          0 replies 0 retweets 0 likes
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        1. New conversation
        2. Seth Stafford‏ @seth_stafford 28 Mar 2017
          Replying to @fchollet

          Intriguing. Reading rate depends on density/new ideas in text. Could a more intrinsic (~wd2vec) knwlg repr. upload faster?

          1 reply 0 retweets 1 like
        3. Seth Stafford‏ @seth_stafford 28 Mar 2017
          Replying to @seth_stafford @fchollet

          what share of reading effort is *learning* to represent concepts vs reusing/activating existing concepts? Latter cld be sped up?

          1 reply 0 retweets 0 likes
        4. Show replies
        1. Cecilia Abadie  🚢 7️⃣ 4️⃣ ✏️‏ @CeNowBe 28 Mar 2017
          Replying to @fchollet

          the thing with learning is that is highly individualized, it's like receptors and chemicals, no open receptors no learning

          0 replies 0 retweets 0 likes
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        1. excite‏ @openexcitement 28 Mar 2017
          Replying to @fchollet

          A reader has to consciously process the input though, if that can be bypassed i guess it can be faster

          0 replies 0 retweets 0 likes
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        1. Peter Kurpinski‏ @londoncatblue 28 Mar 2017
          Replying to @fchollet

          at capacity, interpreting words and grammar, adjusting already existing knowledge, but what if we update the memory directly?

          0 replies 0 retweets 0 likes
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