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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 1 Nov 2016

    François Chollet Retweeted François Chollet

    Are CNNs the right tool to solve *every* pattern matching problem in space and time? I think it's likely.https://twitter.com/fchollet/status/793487304333459456 …

    François Chollet added,

    François CholletVerified account @fchollet
    Using atrous convolutions for machine translation: https://arxiv.org/abs/1610.10099  - expect atrous convolution to start gaining steam everywhere.
    9:34 AM - 1 Nov 2016
    • 31 Retweets
    • 88 Likes
    • Phan Hoàng elnn Anderson Freitas Tshilidzi Mudau Mathieu Guille Felix Esquerdo Cristóbal Esteban AndesQuants Setu Chokshi
    13 replies 31 retweets 88 likes
      1. Federico Vaggi‏ @F_Vaggi 1 Nov 2016
        Replying to @fchollet

        in domains where feature order has meaning, CNN seem to do really well.

        0 replies 0 retweets 0 likes
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      1. Ali‏ @aliostad 1 Nov 2016
        Replying to @fchollet

        while brain connections are way more complex, are there any evidence for a similar structure in brain?

        0 replies 0 retweets 0 likes
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      1. Ingemini‏ @IngeminiDrones 1 Nov 2016
        Replying to @fchollet

        Yeah, I think so, I've been advocating for ConvNets for language for a long time. Glad to see some vindication :)

        0 replies 0 retweets 2 likes
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      1. Ingemini‏ @IngeminiDrones 1 Nov 2016
        Replying to @fchollet

        I think the reason is that information are processed spatially in the brain, or at least CNNs approximate this somewhat well.

        0 replies 0 retweets 0 likes
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      1. ❂ noah rosenberg ❂‏ @nrose 1 Nov 2016
        Replying to @fchollet

        at least the ones our own minds are capable of performing and probably a large percentage we aren't capable of

        0 replies 0 retweets 0 likes
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      1. Ethan Caballero‏ @ethancaballero 1 Nov 2016
        Replying to @fchollet

        someone is literally attempting to solve *every* pattern matching problem in spacetime with dilated CNNs:https://www.reddit.com/r/MachineLearning/comments/5agopr/research_161010099_neural_machine_translation_in/d9gfhzb/ …

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      1. François Chollet‏Verified account @fchollet 1 Nov 2016

        It's been available in Keras for 6 months as a layer (both backends). That was long before it started gaining attention.

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      1. Miguel Angel Bautista‏ @itsbautistam 1 Nov 2016
        Replying to @fchollet

        To a hammer everything looks like a nail. Don't you think?

        0 replies 0 retweets 1 like
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      1. Carl Vondrick‏ @cvondrick 1 Nov 2016
        Replying to @fchollet

        interesting that CNNs work when conv assumption doesnt hold. using VGG on freq axis of spectrograms.https://arxiv.org/abs/1609.09430 

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      2. Chaotic Butter Flies‏ @botminds 1 Nov 2016
        Replying to @fchollet

        Not likely. Not for problems with low self-similarity or where invariance assumptions dont hold approximately. Nor when

        1 reply 0 retweets 0 likes
      3. Chaotic Butter Flies‏ @botminds 1 Nov 2016
        Replying to @botminds @fchollet

        computation exceeds bounds of what conv net can capture or where minute details matter.Climate,weather&complex sys.Hard proteomics

        1 reply 0 retweets 0 likes
      4. Show replies

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