Intro to Deep Learning and Generative Models Course - L5.8 Adaline Code Example

Sebastian's books: https://sebastianraschka.com/books/ We covered all the necessary concepts to understand how we can train linear regression models and adaptive linear neurons using gradient descent. Let's now apply these concepts to train linear regression and Adaline models in Python (and PyTorch). Slides: https://sebastianraschka.com/pdf/lecture-notes/stat453ss21/L05_gradient-descent_slides.pdf Links to the code Linear regression: https://github.com/rasbt/stat453-deep-learning-ss21/blob/main/L05/code/linear-regr-gd.ipynb Adaline: https://github.com/rasbt/stat453-deep-learning-ss21/blob/main/L05/code/adaline-sgd.ipynb ------- This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/j1-r1vO2a_o 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