Uploaded February 2021 | Updated September 2026, 2 weeks ago

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Sebastian's books: sebastianraschka.com/books

After our little calculus detour, we now have a good understanding of how gradient descent works. Let's apply this concept to Adaline now and learn how we can train an adaptive linear neuron (aka linear regression with a threshold function for classification).

Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L05_gradient-descent_slides.pdf

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This video is part of my Introduction of Deep Learning course.

Next video: youtu.be/GGcaqzhKzLc

The complete playlist: youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51

A handy overview page with links to the materials: sebastianraschka.com/blog/2021/dl-course.html

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