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Update weight-decay.md #1308

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Expand Up @@ -22,6 +22,7 @@ ${k - 1 + d} \choose {k - 1}$，即$C^{k-1}_{k-1+d} = \frac{(k-1+d)!}{(d)!(k-1)!
因此即使是阶数上的微小变化，比如从$2$到$3$，也会显著增加我们模型的复杂性。
仅仅通过简单的限制特征数量（在多项式回归中体现为限制阶数），可能仍然使模型在过简单和过复杂中徘徊，
我们需要一个更细粒度的工具来调整函数的复杂性，使其达到一个合适的平衡位置。

## 范数与权重衰减

在 :numref:`subsec_lin-algebra-norms`中，
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