Jensen Shannon Divergence || JS Divergence || Quick explained
JS divergence is a way to compare two probability distributions. It is based on the Kullback-Leibler divergence, but it is more symmetrical and smooth. In this video, I show you how to compute JS divergence with a formula and some examples. Watch this video to learn more about JS divergence and don't forget to leave feedback.
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