cross entropy information theory
Generally, entropy refers to disorder or uncertainty, and the definition of entropy used in information theory is directly analogous to the definition used in statistical thermodynamics. The concept of information entropy was introduced by Claude Shannon , It seems to be closely related to the concept of Kullback–Leibler divergence (see Kullback and Leibler, 1951). In their article Kullback and ...
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 cross entropy information theory 相關參考資料
Cross entropy - Wikipedia
In information theory, the cross entropy between two probability distributions and over the same underlying set of events measures the average number of bits needed to identify an event drawn from the... https://en.wikipedia.org Entropy (information theory) - Wikipedia
Generally, entropy refers to disorder or uncertainty, and the definition of entropy used in information theory is directly analogous to the definition used in statistical thermodynamics. The concept o... https://en.wikipedia.org information theory - Definition and origin of “cross entropy ...
It seems to be closely related to the concept of Kullback–Leibler divergence (see Kullback and Leibler, 1951). In their article Kullback and ... https://stats.stackexchange.co information theory - Qualitively what is Cross Entropy - Cross ...
In information theory, the cross entropy between two probability distributions measures the average number of bits needed to identify an event from a set of possibilities, if a coding scheme is used ... https://stats.stackexchange.co information theory - Qualitively what is Cross Entropy - Cross Validated
that is, Shannon entropy of the original probability distribution. However ... (And it is exactly Shannon entropy of our probability distribution.). https://stats.stackexchange.co Kullback–Leibler divergence - Wikipedia
In mathematical statistics, the Kullback–Leibler divergence (also called relative entropy) is a measure of how one probability distribution is different from a second, reference probability distributi... https://en.wikipedia.org Mutual information - Wikipedia
In probability theory and information theory, the mutual information (MI) of two random variables ... The concept of mutual information is intricately linked to that of entropy of a random variable, a... https://en.wikipedia.org Visual Information Theory -- colah's blog
Information theory gives us precise language for describing a lot of ..... Cross-Entropy and KL divergence are incredibly useful in machine ... http://colah.github.io |