这在机器学习里随处可见。比如KNN算法要计算两个样本点的欧氏距离,本质上就是在算两个向量的差值向量的模长。再比如L2正则化要惩罚权重向量的大小,也是加了一个权重向量的模长平方项。很多初学者在代码里调 torch.norm 或 numpy.linalg.norm 时并不清楚自己到底在干什么,其实你做的就是“求一个 ...
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2x − 6 = 10, so x = 8. 2x − 6 = −10, so x = −2. Check both values in the original equation. If the absolute value is set equal to a negative number, there is no solution because distance cannot be ...
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