E10.8 Suppose that we have the following two reference patterns and their tar- gets: 2 The probability of vector p, is 0.5 and the probability of vector p, is 0.5.We want to train an ADALINE network without a bias on this data set i. Sketch the contour plot of the mean square error performance in- dex ii. Sketch the optimal decision boundary iii. Find the maximum stable learning rate. iv. Sketch the trajectory ofthe LMS algorithm on your contour plot. As- sume a very small learning rate, and start with initial weights W(0) E10.8 Suppose that we have the following two reference patterns and their tar- gets: 2 The probability of vector p, is 0.5 and the probability of vector p, is 0.5.We want to train an ADALINE network without a bias on this data set i. Sketch the contour plot of the mean square error performance in- dex ii. Sketch the optimal decision boundary iii. Find the maximum stable learning rate. iv. Sketch the trajectory ofthe LMS algorithm on your contour plot. As- sume a very small learning rate, and start with initial weights W(0)