(a) A single layer perceptron neural network is used to classify the 2 input logical gate NAND shown in figure 04. Using as a learning rate of 0.1, train the neural network for the first 3 epochs. use a limiting function if y(0) >0 lo other wise X-1 X W-04 W01 0 (0) Output WOS [15 marks) (b) One basic component of Artificial Intelligence is Neural Networks, identify how noural networks are used in computer vision applications 15 marks Marks: 30 (a) Consider the intensities of a 3-bit image in Figure Q2(a), identify the process of image processing by considering the following questions: 0 4 2 7 3 1 1 1 1 4 IN 0 1 2 4 0 1 1 5 2 ch 5 0 0 0 4 5 0 5 5 5 3 2 5 2 IND 2 2 7 1 0 0 1 2 7 4 4 4 Figure O2(a) (1) Evaluate the log transformation for (4.2), given c=3 [3 marks (1) Drive and sketch the normalized histogram of this image. 17 marks (1) Determine the histogram equalization of this image 110 marks Tiv) Calculate the value of 92.3) after applying weighted averaging filter below to f(2,3) 1 2 1 2 12