Sebastian's books: https://sebastianraschka.com/books/
Now that we understand function derivatives and gradients, let's learn how this relates to function minimization. In other words, let's finally see how and what this has to do with gradient descent!
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/iLCT0i-lCsw
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
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.