Intro to Deep Learning and Generative Models Course - L5.0 Gradient Descent -- Lecture Overview

Sebastian's books: https://sebastianraschka.com/books/ It's time to learn how neural networks learn. The inarguably most popular learning algorithm for neural networks is backpropagation, which is, in turn, based on gradient descent. In this video, you will get an overview of what the next couple of lectures cover on our journey to understanding gradient descent and backpropagation. 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/b4DXHd3RwqA 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