Uploaded February 2021 | Updated September 2026, 2 weeks ago

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Sebastian's books: sebastianraschka.com/books

Now that we saw how we can consider linear regression as a type of single-layer neural network (or linear neuron), let's get back to the training iteration concepts (batch mode and on-line mode) and see how that maps onto linear regression training via gradient descent.

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/tL1THESrXgI

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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