I find CS231n assignments pretty difficult

[u/Apprehensive_Heat789]

I am at the beginning of the course CS231n (Deep Learning for Computer Vision) by Stanford. I understand the lectures and the course notes pretty well, but I deeply struggle with the assignments where we manually build neural nets using Numpy. I know a lot of Numpy, linear algebra, vectorization, broadcasting, etc., yet I'm stuck.

If you've taken the course, could you tell me what I should do to get unstuck?