Channel: StatQuest with Josh Starmer

Category: Education

Tags: softmaxjosh starmerdata scienceneural networksmachine learningstatqueststatistics

Description: Here's step-by-step guide that shows you how to take the derivatives of the SoftMax function, as used as a final output layer in a Neural Networks. NOTE: This StatQuest assumes that you already understand the main ideas behind SoftMax. If not, check out the 'Quest: youtu.be/KpKog-L9veg For a complete index of all the StatQuest videos, check out: statquest.org/video-index If you'd like to support StatQuest, please consider... Buying my book, The StatQuest Illustrated Guide to Machine Learning: PDF - statquest.gumroad.com/l/wvtmc Paperback - amazon.com/dp/B09ZCKR4H6 Kindle eBook - amazon.com/dp/B09ZG79HXC Patreon: patreon.com/statquest ...or... YouTube Membership: youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...a cool StatQuest t-shirt or sweatshirt: shop.spreadshirt.com/statquest-with-josh-starmer ...buying one or two of my songs (or go large and get a whole album!) joshuastarmer.bandcamp.com ...or just donating to StatQuest! paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: twitter.com/joshuastarmer 0:00 Awesome song and introduction 0:57 SoftMax derivative with respect to the output of interest 3:58 SoftMax derivative with respect to other outputs #StatQuest #NeuralNetworks #SoftMax