Intro to Deep Learning and Generative Models Course - L5.2 Relation Between Perceptron and Linear Regression

Sebastian's books: https://sebastianraschka.com/books/ Linear regression is one of the methods that can be trained via gradient descent. In fact, we can also draw parallels between the perceptron and linear regression and view linear regression as a linear neuron. In this video, we will do exactly that, since it helps us with introducing gradient descent "gradually" (pun intended) one step at a time. 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/1QH2bVuV98A 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