Neural Networks, Gradient Descent.
the first derivative of the function f’(x) is d/dx(x²-16) = 2x.Equating this to zero (2x = 0) and solving we arrive at x=0 This condition f’(x)=0 is necessary for a point to be considered a critical point, which could be a minimum, maximum, or saddle point. You then use your knowledge of the second