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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 26 May 2019

    Children learn about 10 words a day on average; a single example of a word can be enough to learn its meaning. In any given example, a new word co-occurs with a myriad of features of the child's current mental state -- yet the child can separate the word's meaning from the noise.

    5:44 PM - 26 May 2019
    • 86 Retweets
    • 467 Likes
    • jayurbain Amrita Chanda 🏳️‍🌈👩🏾‍💻🍸 Andrew Pynch The Great Ape (3,3) Tim Rooney Stephanie Chan ProFatXuanAll Anne #OpenTheWindows Tidoo
    14 replies 86 retweets 467 likes
      1. François Chollet‏Verified account @fchollet 26 May 2019

        That is because the meaning of a word is not defined by how statistically likely it is to co-occur with other words, or with features of the external environment, or with features of your own inner world. Meaning is simply not statistical in nature.

        23 replies 68 retweets 474 likes
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      2. Ata Mahjoubfar‏ @atamahjoubfar 26 May 2019
        Replying to @fchollet

        Interesting; could you please provide your source for 10 words per day?

        1 reply 0 retweets 9 likes
      3. Paul Balm‏ @paul_balm 27 May 2019
        Replying to @atamahjoubfar @fchollet

        Check the super-duper hand-out! They say vocabulary grows from 20k words at age 6 to 50k at each 12, which is an average of about 15 words/day, sustained over 6 years! https://www.superduperinc.com/handouts/pdf/149_VocabularyDevelopment.pdf …

        1 reply 1 retweet 3 likes
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      1. Leandro Roser‏ @leandroroser 26 May 2019
        Replying to @fchollet

        In relation to this, I like Wittgenstein's point of view: he said that the meaning of a word is its use in a given context, "language-games"

        0 replies 0 retweets 2 likes
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      2. 𝑫𝒂𝒏𝒊𝒆𝒍 𝑺𝒄𝒐𝒕𝒕 𝑴𝒂𝒕𝒕𝒉𝒆𝒘𝒔  🇦🇺‏ @DanielSMatthews 26 May 2019
        Replying to @fchollet

        There is not a singular learning event for any given "word" one learns the visual & auditory representations as well as the usage contextual weights separately. At different times & via different brain areas. Only then we can learn how all of those sensory meanings are linked.

        1 reply 0 retweets 2 likes
      3. John Bladen  🎹‏ @JSB_1685 26 May 2019
        Replying to @DanielSMatthews @fchollet

        Agreed, though we can on first hearing represent a new word and the thing it corresponds to in terms of anything it relates to that we already know (i.e. have representations of). We can then refine when we encounter new evidence. (Also see my other direct and indirect replies).

        0 replies 0 retweets 1 like
      4. End of conversation
      1. Simon Eickhoff‏ @INM7_ISN 26 May 2019
        Replying to @fchollet

        To be fair, learning im (particular early) childhood often requires a lot of practice, repetition, feedback. Yet at times it can be single-shot. In any way, the key difference to #ai/#DL is that concepts are formed. No "intelligent" algorithm can do that.

        2 replies 2 retweets 6 likes
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      1. Nat Busa‏ @natbusa 27 May 2019
        Replying to @fchollet

        Somewhere I read an interesting article about learning by novelty and curiosity. I think instinctively children tend to easily bundle similar concepts and seek new words/ideas. I believe this metric can be applied to AI

        0 replies 0 retweets 1 like
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      1.  🙏‏ @mikkokotila 27 May 2019
        Replying to @fchollet

        Related, this is an interesting experiment and visualization regarding "the birth of a word" in a baby's experience: https://www.ted.com/talks/deb_roy_the_birth_of_a_word?language=en …

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      1. SqueezeBuzz‏ @Amirh3ssam 27 May 2019
        Replying to @fchollet

        Reference?

        0 replies 0 retweets 0 likes
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