Intro to Deep Learning and Generative Models Course - L5.3 An Iterative Training Algorithm for Linear Regression

Sebastian's books: https://sebastianraschka.com/books/ Now that we saw how we can consider linear regression as a type of single-layer neural network (or linear neuron), let's get back to the training iteration concepts (batch mode and on-line mode) and see how that maps onto linear regression training via gradient descent. 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/tL1THESrXgI 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