Channel: StatQuest with Josh Starmer

Category: Education

Tags: josh starmerdata sciencemachine learningstatqueststatistics

Description: Here is a step-by-step guide that shows you how to take the derivative of the Cross Entropy function for Neural Networks and then shows you how to use that derivative for Backpropagation. NOTE: This StatQuest assumes that you are already familiar with... The main ideas behind neural networks: youtu.be/CqOfi41LfDw The main ideas behind backpropagation: youtu.be/IN2XmBhILt4 Neural networks with multiple inputs and outputs: youtu.be/aObJUevCVDc ArgMax and SoftMax: youtu.be/KpKog-L9veg Cross Entropy: youtu.be/6ArSys5qHAU 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 5:47 dCE_setosa with respect to b3 11:19 dCE_virginica with respect to b3 15:03 Other derivatives 16:09 Backpropagation with cross entropy #StatQuest #NeuralNetworks #CrossEntropy