Neural Networks Pt. 1: Inside the Black Box

Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood. Everyone says Neural Networks are “black boxes“, but that’s not true at all. In this video I break each piece down and show how it works, step-by-step, using simple mathematics that is still true to the algorithm. By the end of this video you will have a deep understanding of what Neural Networks do. For a complete index of all the StatQuest videos, check out: If you’d like to support StatQuest, please consider... Buying my book, The StatQuest Illustrated Guide to Machine Learning: PDF - Paperback - Kindle eBook - Patreon: ...or... YouTube Membership: ...a cool StatQuest t-shirt or sweatshirt: ...buying one or two of my songs (or go large and get a whole album!) ...or just donating to StatQuest! Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: 0:00 Awesome song and introduction 2:01 A simple dataset and problem 3:37 Description of Neural Networks 7:54 Creating a squiggle from curved lines 15:25 Using the Neural Network to make a prediction 16:38 Some more Neural Network terminology #StatQuest #NeuralNetworks