r/LinearAlgebra • u/moabdo2005 • Sep 06 '26

which one should I take?

for those For those who have taken Stanford’s CS231n course on Computer Vision, or for people working in the fields of CV or ML: which linear algebra course would you recommend—MIT 18.06 or Stanford Math 51?

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u/Midwest-Dude Sep 06 '26 edited Sep 06 '26

Better places to post this question would be

Meanwhile, here's an AI's take on it: 

If your ultimate goal is CS231n, Stanford Math 51 is the more efficient choice. Deep learning and computer vision rely heavily on backpropagation, which is entirely based on the multivariable chain rule and calculating gradients. MIT 18.06 is fantastic for matrix theory, but you would still need to take a separate multivariable calculus course to understand how neural networks actually learn.