A Carnegie Mellon University course on the internals of deep learning systems, covering how deep learning libraries are built, including automatic differentiation and GPU-backed tensor computation. It goes deeper into library implementation than a typical introductory deep learning course.

A commenter calls CMU's open deep learning courses very good and says this one dives much deeper into the internals of the libraries.

What commenters said (1)

1. Recommendsoptbuild2023in “Ask HN: Materials to learn machine learning and deep learning in 2023?”

   CMU has two open courses on deep learning which are very good.

   1. Deep Learning - https://deeplearning.cs.cmu.edu/F23/index.html

   2. Deep Learning Systems - https://dlsyscourse.org/

   The second course dives much deeper into the internals of the libraries and all.

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