Intro to Deep Learning and Generative Models Course - L6.4 Training ADALINE with PyTorch -- Code Example

Sebastian's books: https://sebastianraschka.com/books/ Now that we understand computation graphs and saw how PyTorch can differentiate computations automatically, let's use it to train the adaptive linear neuron that we introduced in lecture 5 more conveniently. Slides: https://sebastianraschka.com/pdf/lecture-notes/stat453ss21/L06_pytorch_slides.pdf Code: https://github.com/rasbt/stat453-deep-learning-ss21/blob/main/L06/code/adaline-with-autograd.ipynb ------- This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/klc79sZ1yVc 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