Intro to Deep Learning and Generative Models Course - L5.1 Online, Batch, and Minibatch Mode

Sebastian's books: https://sebastianraschka.com/books/ As we will see in this video, there are many different ways we can use a dataset to train a model iteratively. For each model update, we can look either at the whole dataset at once (batch mode) or process one data point at a time (on-line mode). 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/4JB1j8eIGzI 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