Cross entropy

In information theory, the cross entropy between two probability distributions $p$ and $q$ over the same underlying set of events measures the average number of bits needed to identify an event drawn from the set, if a coding scheme is used that is optimized for an "unnatural" probability distribution $q$ , rather than the "true" distribution $p$ .

单词	Cross entropy
释义	Cross entropy 英语百科 Cross entropy In information theory, the cross entropy between two probability distributions $p$ and $q$ over the same underlying set of events measures the average number of bits needed to identify an event drawn from the set, if a coding scheme is used that is optimized for an "unnatural" probability distribution $q$ , rather than the "true" distribution $p$ .
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