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Entropy (information theory) and Perplexity

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Entropy (information theory) and Perplexity

Entropy (information theory) vs. Perplexity

Information entropy is the average rate at which information is produced by a stochastic source of data. In information theory, perplexity is a measurement of how well a probability distribution or probability model predicts a sample.

Similarities between Entropy (information theory) and Perplexity

Entropy (information theory) and Perplexity have 3 things in common (in Unionpedia): Cross entropy, Probability distribution, Random variable.

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. The cross entropy for the distributions p and q over a given set is defined as follows: where H(p) is the entropy of p, and D_(p \| q) is the Kullback–Leibler divergence of q from p (also known as the relative entropy of p with respect to q — note the reversal of emphasis).

Cross entropy and Entropy (information theory) · Cross entropy and Perplexity · See more »

Probability distribution

In probability theory and statistics, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment.

Entropy (information theory) and Probability distribution · Perplexity and Probability distribution · See more »

Random variable

In probability and statistics, a random variable, random quantity, aleatory variable, or stochastic variable is a variable whose possible values are outcomes of a random phenomenon.

Entropy (information theory) and Random variable · Perplexity and Random variable · See more »

The list above answers the following questions

Entropy (information theory) and Perplexity Comparison

Entropy (information theory) has 135 relations, while Perplexity has 12. As they have in common 3, the Jaccard index is 2.04% = 3 / (135 + 12).

References

This article shows the relationship between Entropy (information theory) and Perplexity. To access each article from which the information was extracted, please visit:

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