parameters don't really respect it's a better idea to look at how the prediction changes so if you compute the change in the loss you'll find that it's related to the outer product of a certain Jacobian matrix or though or the gram matrix as long as this gram matrix is strictly positive definite you get a contraction so then if I could ensure that this thing stayed positive definite then you convert to a global minimizer so why does this the first thing is to establish that it started positive definite that's pretty clear random