Intro to Deep Learning and Generative Models Course - L12.5 Choosing Different Optimizers in PyTorch

Sebastian's books: https://sebastianraschka.com/books/ Slides: https://sebastianraschka.com/pdf/lecture-notes/stat453ss21/L12_optim__slides.pdf Link to the code referenced in this video: - https://github.com/rasbt/stat453-deep-learning-ss21/blob/main/L12/code/sgd-scheduler-momentum.ipynb - https://github.com/rasbt/stat453-deep-learning-ss21/blob/main/L12/code/adam.ipynb ------- This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/7yoAocFiUh8 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