Intro to Deep Learning and Generative Models Course - L6.0 Automatic Differentiation in PyTorch -- Lecture Overview

Sebastian's books: https://sebastianraschka.com/books/ In lecture 6, we will take a deeper dive into learning how to use PyTorch and learn about one of it's core features: computing partial derivatives and gradients for us! In this video, we will go over the different topics we will cover in lecture 6. Slides: https://sebastianraschka.com/pdf/lecture-notes/stat453ss21/L06_pytorch_slides.pdf ------- This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/LjdiVPQ45GE 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