Fig.1

Concept

Jensen-Shannon divergence

Jensen-Shannon divergence (JSD) measures how different two probability distributions are. It is a symmetric, smoothed version of the Kullback-Leibler (KL) divergence. Where KL divergence D_KL(P || Q) is asymmetric and blows up to infinity when Q assigns zero probability…

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Jensen-Shannon divergence, explained · Fig. 1