Intro to Deep Learning and Generative Models Course - L3.2 The Perceptron Learning Rule

Sebastian's books: https://sebastianraschka.com/books/ The perceptron is one of the earliest machine learning algorithms and models. In this video, we will learn that it is a beautifully simple approach to binary classification. We will view the perceptron as a single layer neural network and will come back to this view in later lectures when we talk about adaptive linear neurons and logistic regression. Slides: https://sebastianraschka.com/pdf/lecture-notes/stat453ss21/L03_perceptron_slides.pdf Code used to produce the perceptron animation: https://github.com/rasbt/stat453-deep-learning-ss21/blob/main/L03/code/perceptron-animation.ipynb ------- This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/OnG2NfuC5aY 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