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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. Robert T. McGibbon‏ @rmcgibbo 2 Sep 2016
      Replying to @fchollet @dwf

      shouldn't this be very easy to reimplement though?

      2 replies 0 retweets 0 likes
    2. David Warde-Farley  🇪🇺‏ @dwf 2 Sep 2016
      Replying to @rmcgibbo @fchollet

      Indeed, and I will gladly eat my words if it turns out to be completely reproducible.

      2 replies 0 retweets 0 likes
    3. David Warde-Farley  🇪🇺‏ @dwf 2 Sep 2016
      Replying to @dwf @rmcgibbo @fchollet

      But if I had a bombshell like this, I wouldn't have sit on it for 8 weeks of NIPS reviewing; makes me suspicious.

      1 reply 0 retweets 1 like
    4. Bharath Ramsundar‏ @rbhar90 2 Sep 2016
      Replying to @dwf @rmcgibbo @fchollet

      The result isn't that surprising is it? Roughly stacked sparse coding. Similar models have been built before

      1 reply 0 retweets 0 likes
    5. Bharath Ramsundar‏ @rbhar90 2 Sep 2016
      Replying to @rbhar90 @dwf and

      Only difference is claim to match VGGnet. But sparse-coding has given strong numbers in past

      1 reply 0 retweets 0 likes
    6. David Warde-Farley  🇪🇺‏ @dwf 2 Sep 2016
      Replying to @rbhar90 @rmcgibbo @fchollet

      Layer-local greedy training doing that well is pretty surprising, yes.

      2 replies 0 retweets 3 likes
    7. François Chollet‏Verified account @fchollet 2 Sep 2016
      Replying to @dwf @rbhar90 @rmcgibbo

      the reason DL works so well is the joint training of the stacked reprs. Greedy approaches fundamentally flawed

      1 reply 0 retweets 5 likes
    8. David Warde-Farley  🇪🇺‏ @dwf 2 Sep 2016
      Replying to @fchollet @rbhar90 @rmcgibbo

      Maybe. It doesn't seem logical that joint training should ever lose to greedy training, but if it does?

      2 replies 0 retweets 0 likes
    9. David Warde-Farley  🇪🇺‏ @dwf 2 Sep 2016
      Replying to @dwf @fchollet and

      I'll just say "prevailing wisdom" in DL is a fickle thing. You've seen the silly shit we all believed in 2010.

      1 reply 0 retweets 4 likes
    10. François Chollet‏Verified account @fchollet 2 Sep 2016
      Replying to @dwf @rbhar90 @rmcgibbo

      agreed, but at the same time I've seen some silly shit accepted at major conferences. Jury's out on this one

      2 replies 0 retweets 0 likes
      François Chollet‏Verified account @fchollet 2 Sep 2016
      Replying to @fchollet @dwf and

      for the record I do believe backprop will eventually be replaced; I've said this many times before.

      10:10 PM - 2 Sep 2016
      • 1 Retweet
      • 5 Likes
      • Federico Vaggi Christos Tsirigotis Boris Reuderink Shuai Kyle Zheng Smerity
      1 reply 1 retweet 5 likes
        1. New conversation
        1. Federico Vaggi‏ @F_Vaggi 3 Sep 2016
          Replying to @fchollet @dwf and

          our brain learns pretty well and probably doesn't backprop

          2 replies 0 retweets 0 likes
        2. David Warde-Farley  🇪🇺‏ @dwf 3 Sep 2016
          Replying to @F_Vaggi @fchollet and

          Depending who you talk to :) Geoff has long said that error signals are just too damned useful...

          2 replies 0 retweets 1 like
        3. Show replies

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