E3.4 Consider the following perceptron network. Inputs Sym. Hard Limit Layer R P Rx1 W W = Sx1 n SXR (+) Sx1 b = 1b Sx1 S a hardlims (Wp+b) i. How many different classes can this network classify? ii. Draw a diagram illustrating the regions corresponding to each class. Label each region with the corresponding network output. iii. Calculate the network output for the following input. 3-17 3 An Illustrative Example P iv. Plot the input from part iii in your diagram from part ii, and verify that it falls in the correctly labeled region.