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读懂「Simons Lecture II: Structure and randomness in e」:先把定义、反例和适用范围钉死
In this second lecture, I wish to talk about the dichotomy between struc…
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深度学习硬件的尴尬期:规格好看不等于能训
With the release of the Titan V, we now entered deep learning hardware l…
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别被预测博主带着走:一份 AI 预言战绩对照
I was curious how well the predictions of the most widely cited AI skept…
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「Simons Lecture III: Structure and randomness in」:数学直觉如何落到可检验的步骤
[This lecture is also doubling as this week’s “open problem of the week”…
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跑 Transformer:TPU 和 GPU 各自适合什么
On the computational side, there have been confusions about how TPUs and…
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Steve Yegge 的预测战绩
I try to avoid making predictions 1 . It’s a no-win proposition: if you’…
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读懂「Pearls before breakfast」:先把定义、反例和适用范围钉死
The main topic of this post has absolutely nothing to do with mathematic…
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机器学习博士申请:材料、推荐信和匹配度
I studied in depth how to be successful in my PhD applications and it pa…
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关于写作的非鸡汤:先写清楚再谈风格
I see a lot of essays framed as writing advice which are actually thinly…
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「Compressed sensing and single-pixel cameras」:数学直觉如何落到可检验的步骤
I’ve had a number of people ask me (especially in light of some recent p…