Uploaded February 2021 | Updated September 2026, 2 weeks ago

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Sebastian's books: sebastianraschka.com/books

Deep learning is a very applied field, so we will be looking at a lot of PyTorch in this course. In this lecture video, we will look at similarities between NumPy and PyTorch. Then, we will discuss different data types in PyTorch and see how we can run linear algebra computations conveniently on a GPU.

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/4Ehb_is-MFU

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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