The outputs of the image classification neural network are as follows: -1 4 3 5 -2 2 -2 4 1 4 Outputs: ex01 (dog) ex02(cat) ex03(dog) ex04(dog) ex05(horse) ex06(cat) ex07(cat) ex08(horse) ex09(dog) ex10(horse) cat class dog class -3 3 2 -3 2 5 -3 3 1 1 horse class 4 2 1 4 -2 7 -3 -3 2 -3 Answer: Description: ex0M(N) - is M input image representing N class e.g. ex01(cat) is first image of cat; (a) Determine which examples are correctly classified, (b) Create a confusion matrix, (c) Calculate total classification measures: accuracy. (d) Calculate for each class measures: precision.