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loss_.md 1.0 KB

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Loss Function

机器学习中,我们通过最小化Loss Function从而找到最优的一组参数

Loss Function可以近似看成是预测值与真实值的距离

0-1 Loss

Square Error

Mean Square Error

Root Mean Square Error

Cross Entropy

二元分类的问题,则为伯努利分布,假设两个分布分别为p,q

Tip!

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