1. To optimise a neural network can require selecting the best combination of a large set of parameters. For a simple case, suppose that a neural network has just two parameters 3: and y. The network is only feasible if y 2 1, a: S 3 and y S 3:. An analyst establishes that the performance function of the network is x, :9) = 33:02 + 3:2 493:9- Find Vf($, y). Find the Hessian matrix H (w, y) for f. Locate and classify all stationary points of f (3:, y). Duo 0" vvvv Draw a rough sketch showing the feasible region of parameters, along with the locations of the stationary points. (e) For what values of a: and y is the maximum performance of the network achieved, and for what values is the minimum achieved