Neural Networks / Deep Learning - Neural Networks Part 6: Cross Entropy

When a Neural Network is used for classification, we usually evaluate how well it fits the data with Cross Entropy. This StatQuest gives you and overview of how to calculate Cross Entropy and Total Cross Entropy. NOTE: This StatQuest assumes that you are already familiar with... The main ideas behind neural networks: https://youtu.be/CqOfi41LfDw The main ideas behind backpropagation: https://youtu.be/IN2XmBhILt4 Neural networks with multiple inputs and outputs: https://youtu.be/83LYR-1IcjA ArgMax and SoftMax: https://youtu.be/KpKog-L9veg 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... Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...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 1:48 Cross Entropy defined 2:50 General equation for Cross Entropy 4:11 Calculating Total Cross Entropy 5:41 Why Cross Entropy and not SSR? #StatQuest #NeuralNetworks #CrossEntropy