Newton's Method: I would to check the answer please explain your step

Newton's Method: and the cost function Show that, for a 2-layer linear neural network (i.e., = fw(x) = w x) 1 J(w) = 2n i=1 (gli) y(i)) Newton's method x* = 2(0) H(f)(20)-Vxf(x(0) will converge to the optimal solution w* = (XXT)-1Xy in 1 iteration no matter what the starting point w(0) of the search is. Newton's Method: and the cost function Show that, for a 2-layer linear neural network (i.e., = fw(x) = w x) 1 J(w) = 2n i=1 (gli) y(i)) Newton's method x* = 2(0) H(f)(20)-Vxf(x(0) will converge to the optimal solution w* = (XXT)-1Xy in 1 iteration no matter what the starting point w(0) of the search is