Intro to Deep Learning and Generative Models Course - L4.5 A Fully Connected (Linear) Layer in PyTorch

Sebastian's books: https://sebastianraschka.com/books/ Now that we discussed a lot of the linear algebra notational conventions, let us look at a concrete example and see how we can implement a fully connected (sometimes also called linear or dense) layer of a neural network in PyTorch. Slides: https://sebastianraschka.com/pdf/lecture-notes/stat453ss21/L04_linalg-dl_slides.pdf ------- This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/VBOxg62CwCg 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