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danluu's profile
Dan Luu
Dan Luu
Dan Luu
@danluu

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Dan Luu

@danluu

https://patreon.com/danluu 

danluu.com
Joined December 2008

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    Dan Luu‏ @danluu Aug 15
    • Report Tweet

    "actually the seed is also a hyper-parameter"pic.twitter.com/KJ9YxL92Gz

    Twitter won't allow a quote this long, see https://news.ycombinator.com/item?id=20709020 for the full comment and response.
    4:11 PM - 15 Aug 2019
    • 253 Retweets
    • 1,047 Likes
    • Rishiraj against the dying of the light Hlynur Hallgrímsson James Hicks Michael Gagliano Ryan Travis Christopher Peters 🚀 Machine Learner Mikk Ojamaa James Michelson
    15 replies 253 retweets 1,047 likes
      1. New conversation
      2. Mark Saroufim‏ @formalsystem Aug 15
        • Report Tweet
        Replying to @danluu

        The state space of most games is so big that vanilla Q learning is kind of like brute force search. There are other approaches that converge faster https://fluxml.ai/2019/03/05/dp-vs-rl.html … Maybe the popularity of RL stems from not wanting to learn calculus properly xD

        1 reply 1 retweet 31 likes
      3. Daniel Bilar‏ @daniel_bilar Aug 16
        • Report Tweet
        Replying to @formalsystem

        V effective introduction, a small masterpiece really. Really well done, on par w http://distill.pub  Is there a list of these differentiable design patterns mentioned in the Coda per chance?

        2 replies 1 retweet 4 likes
      4. 3 more replies
      1. New conversation
      2. Gary Basin  🔧‏ @garybasin Aug 15
        • Report Tweet
        Replying to @danluu @wolftivy

        Lol @Meaningness

        2 replies 0 retweets 2 likes
      3. David Chapman‏ @Meaningness Aug 15
        • Report Tweet
        Replying to @garybasin @danluu @wolftivy

        https://meaningness.com/control pic.twitter.com/hiI4zIqINq

        0 replies 5 retweets 19 likes
      4. End of conversation
      1. New conversation
      2. Kyle Strand‏ @BatmanAoD Aug 15
        • Report Tweet
        Replying to @danluu

        Galaxy brain hot take: all software (i.e. the binary itself) is just a parameter to a Universal Turing Machine

        1 reply 0 retweets 36 likes
      3. Wolf Tivy 🚀‏ @wolftivy Aug 15
        • Report Tweet
        Replying to @BatmanAoD @danluu

        Some hyperparameters are more comprehensible and predictable than others.

        0 replies 0 retweets 6 likes
      4. End of conversation
      1. Gursimran Singh‏ @gnarmis Aug 15
        • Report Tweet
        Replying to @danluu

        “It works on my machine”

        0 replies 1 retweet 32 likes
        Thanks. Twitter will use this to make your timeline better. Undo
        Undo
      1. New conversation
      2. Ian Soboroff‏ @ian_soboroff Aug 16
        • Report Tweet
        Replying to @danluu

        Also, sometimes the same seed does not yield the same random number stream over library versions, language versions, or hardware changes.

        1 reply 0 retweets 2 likes
      3. Ian Soboroff‏ @ian_soboroff Aug 16
        • Report Tweet
        Replying to @ian_soboroff @danluu

        Any result not reporting a confidence interval over random inits is bogus.

        0 replies 2 retweets 11 likes
      4. End of conversation
      1. New conversation
      2. Pär Winzell‏ @Zellski Aug 16
        • Report Tweet
        Replying to @danluu @n0madsky

        is this like the anthropic principle, where we conjecture that a precisely tuned "constant" of physics is retroactively justified by fact that we're here to argue over it?

        1 reply 0 retweets 1 like
      3. Daniel Bilar‏ @daniel_bilar Aug 16
        • Report Tweet
        Replying to @Zellski @danluu @n0madsky

        There's a super book on that by Sir Martin Rees, Just Six Numbers. It's not the numbers (constants) alone, it's their relationships and the very small error bands that have to be met in order for systems w certain properties to emerge and persist https://www.physics.purdue.edu/webapps/index.php/course_document/index/phys217H/1542/293/10748 …

        1 reply 1 retweet 12 likes
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