[Project] The best matrix multiplication algorithm for gradient descent.

I'm trying to implement neural networks in rust with 0 dependencies. I know Strassen is only good at high rank, and with increased error (source was geeks for geeks so probably dubious). Anyway, I was wondering what algorithm i should use for matrix multiplication, and if it even makes much of a difference.

algorithm dependencies error good gradient machinelearning matrix matrix multiplication networks neural networks project rust