Neural Networks, Gradient Descent.
need gradient descent for such a simple function of one variable/parameter. Our neural network’s final layer is an n-parameter function and there is no guarantee that it may be convex like the parabola and definitely in N dimension its shape cannot be visualised easily and hence gradient descent.