Uploaded February 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books
While we are free to use any linear algebra notation we like as long as it is correct, there are certain conventions in the deep learning community. In this video, we will go over some of these conventions for computing the values in a forward pass of a neural network.
Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L04_linalg-dl_slides.pdf
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This video is part of my Introduction of Deep Learning course.
Next video: youtu.be/XswEBzNgIYc
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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If you want to be notified about future videos, please consider subscribing to my channel: youtube.com/c/SebastianRaschka
Sebastian's books: sebastianraschka.com/books
While we are free to use any linear algebra notation we like as long as it is correct, there are certain conventions in the deep learning community. In this video, we will go over some of these conventions for computing the values in a forward pass of a neural network.
Slides: sebastianraschka.com/pdf/lecture-notes/stat453ss21/L04_linalg-dl_slides.pdf
-------
This video is part of my Introduction of Deep Learning course.
Next video: youtu.be/XswEBzNgIYc
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
-------
If you want to be notified about future videos, please consider subscribing to my channel: youtube.com/c/SebastianRaschka










