zài / jī qì xué xí / zhōng / jiāo chā shāng / shì / héng liáng / liǎng gè / gài lǜ fēn bù / chā yì / de / cháng yòng / fāng fǎ

在机器学习中，交叉熵是衡量两个概率分布差异的常用方法。

In machine learning, cross-entropy is a common method for measuring the difference between two probability distributions.