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原始链接: https://news.ycombinator.com/item?id=43390400

一篇题为“深度学习并非那么神秘或不同”的Hacker News帖子引发了讨论。一位评论者cgdl同意这种观点,但建议用算法稳定性而不是PAC-Bayes或VC理论来更好地解释深度学习的行为。他们链接了一篇arXiv上的研究论文(https://arxiv.org/abs/2203.10036)作为支持证据。另一位用户bigfatfrock对该评论表示赞赏,并强调这种富有洞察力的批评和另类观点是Hacker News的一大吸引力。该帖子还宣传了定于6月16日至17日在旧金山举行的“AI创业学校”。

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  • 原文
    Hacker News new | past | comments | ask | show | jobs | submit login
    Deep Learning Is Not So Mysterious or Different (arxiv.org)
    44 points by wuubuu 41 minutes ago | hide | past | favorite | 2 comments










    Agreed, but PAC-Bayes or other descendants of VC theory is probably not the best explanation. The notion of algorithmic stability provides a (much) more compelling explanation. See [1] (particularly Sections 11 and 12)

    [1] https://arxiv.org/abs/2203.10036



    I'm a huge fan of HN just for replies such as this that smash the OP's post/product with something better. It's like at least half the reason I stick around here.

    Thanks for the great read.







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