When your Neural Network has more than one output, then it is very common to train with SoftMax and, once trained, swap SoftMax out for ArgMax. This video give you all the details on these two methods so that you'll know when and why to use ArgMax or SoftMax. NOTE: This StatQuest assumes that you already understand: The main ideas behind Neural Networks: https://www.youtube.com/watch?v=CqOfi41LfDw How Neural Networks work with multiple inputs and outputs: https://www.youtube.com/watch?v=83LYR-1IcjA For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Buying my book, The StatQuest Illustrated Guide to Machine Learning: PDF - https://statquest.gumroad.com/l/wvtmc Paperback - https://www.amazon.com/dp/B09ZCKR4H6 Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: null ...a cool StatQuest t-shirt or sweatshirt: null ...buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer 0:00 Awesome song and introduction 2:02 ArgMax 4:21 SoftMax 6:36 SoftMax properties 9:31 SoftMax general equation 10:20 SoftMax derivatives #StatQuest #NeuralNetworks #ArgMax #SoftMax