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citnaj's profile
Jason Antic
Jason Antic
Jason Antic
@citnaj

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Jason Antic

@citnaj

Obsessively pursuing the perfection of image and video colorization/restoration using deep learning. Creator of DeOldify.

Ocean Beach, San Diego
deoldify.ai
Joined January 2010

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    1. Jason Antic‏ @citnaj 24 Aug 2019
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      I am -loving- this combined Rectifed Adam (RAdam) + LookAhead optimizer. It's freaky stable and powerful, especially for my purposes. Only weird thing to keep in mind- I've had to multiply my learning rates by over 100x to maximally take advantage.https://medium.com/@lessw/new-deep-learning-optimizer-ranger-synergistic-combination-of-radam-lookahead-for-the-best-of-2dc83f79a48d …

      8 replies 100 retweets 486 likes
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    2. Tania J.‏ @taniajacob 25 Aug 2019
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      Replying to @citnaj

      I tried it on a non-image problem and it performed worse. Didn't play with the learning rate though, maybe i will try to increase it and test again.

      1 reply 0 retweets 3 likes
    3. Jason Antic‏ @citnaj 25 Aug 2019
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      Replying to @taniajacob

      Yeah you may be able to increase the learning rate quite a bit. And in fact I had to because otherwise the loss was a big strangely stagnant. Not sure exactly why.

      1 reply 0 retweets 0 likes
    4. Mikhail Grankin‏ @mgrankin 25 Aug 2019
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      Replying to @citnaj @taniajacob

      It seems worth playing with LR scheduling other than OneCycle to unleash the full potential of these new optimizers.https://forums.fast.ai/t/imagenette-woof-leaderboards-guidelines-for-proving-new-high-scores/52714/19 …

      3 replies 1 retweet 4 likes
      Jason Antic‏ @citnaj 25 Aug 2019
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      Replying to @mgrankin @taniajacob

      Yeah I set div_factor to 1 to get rid of the warmup stage and just have it learn at constant lr then decay. Not rigorously tested at all yet but that seems to make sense.

      10:50 AM - 25 Aug 2019
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