Part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193 Visit the blog: https://brohrer.github.io/how_neural_networks_work.html Get the slides: https://docs.google.com/presentation/d/1AAEFCgC0Ja7QEl3-wmuvIizbvaE-aQRksc7-W8LR2GY/edit?usp=sharing Errata 3:40 - I presented a hyperbolic tangent function and labeled it a sigmoid. While it is S-shaped (the literal meaning of "sigmoid") the term is generally used as a synonym for the logistic function. The label is misleading. It should read "hyperbolic tangent". 7:10 - The two connections leading to the bottom most node in the most recently added layer are shown as black when they should be white. This is corrected in 10:10.