Flow-based generative model: Difference between revisions

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A '''flow-based generative model''' is a [[generative model]] that explicitly models the [[probability density function]] of the real data (i.e. <math>p(\textbf{x})</math>). This is accomplished by leveraging the [[Probability density function#Function of random variables and change of variables in the probability density function|change-of-variables]] law of probabilities.

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[[Category:Machine learning]]

[[Category:Statistical models]]

[[Category:Probabilistic models]]