Intro to Deep Learning and Generative Models Course - L5.7 Training an Adaptive Linear Neuron (Adaline)

Sebastian's books: https://sebastianraschka.com/books/ After our little calculus detour, we now have a good understanding of how gradient descent works. Let's apply this concept to Adaline now and learn how we can train an adaptive linear neuron (aka linear regression with a threshold function for classification). Slides: https://sebastianraschka.com/pdf/lecture-notes/stat453ss21/L05_gradient-descent_slides.pdf ------- This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/GGcaqzhKzLc The complete playlist: https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51 A handy overview page with links to the materials: https://sebastianraschka.com/blog/2021/dl-course.html ------- If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka