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.

[@VictorHugo-um1kr]

Very nice!!

[@DevelopersHutt]

Thank you! Cheers!

[@green-j5f]

thanks. your explains are really easy to understand , thanks for helping my seminar

[@sayyidahhumairah491]

Great & clear explanation Sir! Already checked your other videos and found it super helpful. Can't wait to watch more from you.

[@DevelopersHutt]

Thanks. I'm glad you liked it 🙏

[@kleemc]

Nicely done. Thanks

[@promiseekpo3751]

Nice explanation