Question 4. The decision boundary for a two-class +1/-1 problem is given below in left. Specify the parameters weights and bias of the perception network on the right that can generate the given decision boundary. Note for a perceptron node, the output is +1 for input greater than or equal to 0, else output is -1. x2 -1 -1 -1 (3,6) -1 -1 -1 +1 (1,4) (5,4) +1 -1 +1 -1 -1 +1 +1 +1 -1 -1 1 1 5 x1