Which of the following statements accurately describes the Kullback-Leibler (KL)Divergence? KL divergence measures the dissimilarity between two probability distributions KL divergence is symmetric in the two distributions. KL divergence measures the distance between two probability distributions KL divergence is a metric that satisfies the triangle inequality.
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It is defined as D_KL(P||Q) = sum_x P(x) log(P(x)/Q(x)) (or integral for continuous distributions) and quantifies how one distribution P diverges from Q. Show more…
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