Consider a two$-$dimensional space XY; X and Y are inputs of a perceptron. We have seen that the decision surface of a perceptron is always a straight line. We also know that perceptrons can apply OR and AND operations to boolean values. Now consider a neural network with two layers of perceptrons $($a hidden layer with n perceptrons and an output layer of $1$ perceptron$).$ Based on the above observations, what kind of decision surface do you think such a network can at least form?