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Brett Winton: 有点奇怪的是,我们以随机顺序将数据输入神经网络,而它们仍然设法(大部分)保持一致。 想象一下,通过从书架上随机抽取书籍来教您的孩子阅读,他必须在遇到苏斯博士之前尝试理解笛卡尔形而上学。 https://t.co/kZCBdRDAst 引用来自@NickEMoran 的推文: @srush_nlp 我最喜欢的是这个。 “有一些奇怪的行为,我们真的不知道为什么,而且弄清楚它太昂贵了。我们只是跳过了一些数据并希望最好” https://t.co/8FB8hHaTyF

Posted on 2023-02-10

原推:It is kind of weird that we feed data into neural nets in random order and that they still manage to (mostly) cohere.

Imagine teaching your kid to read by pulling random books off the shelf, and he has to try to grok Cartesian metaphysics before encountering Dr. Seuss. https://t.co/kZCBdRDAst

Quoted tweet from @NickEMoran:

@srush_nlp My favorite is this one. “There was some weird behavior, we don’t really know why and it’s too expensive to figure out. We just kinda skipped some data and hoped for the best” https://t.co/8FB8hHaTyF

https://twitter.com/wintonARK/status/1623908466359427073

本站文章系自动翻译,站长会周期检查,如果有不当内容,请点此留言,非常感谢。
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