(a) A single layer perceptron neural network is used to classify the 2 input logical gate NOR shown in figure Q4. Using as a learning rate of 0.1, train the neural network for the first 3 epochs. use a limiting function: 9(x) l if y(i) > 0 lo other wise Xor X Wo= .0.4 W2=0.1 Y() 0i) Output W2=0.5 X2 [15 marks] (b) One basic component of Artificial Intelligence is Neural Networks, identify how neural networks are used in computer vision applications. [5 marks] a) Consider the binary image A below, apply the concept of feature extraction by evaluating the following morphological operation of opening the image A by the structural element B: 0 1 0 1 1 1 1 0 A= B= 110 011 0 1 1 1 1 1 1 010 1 0 1 1 1 [15 marks] (a) For the one dimensional image x(n) 3x(0) = 2, x(1) = 1, x(2) = 3, x(3) = 2}, formulate the discrete Fourie transform, and Inverse Fourier transform for this image. [15 marks] (b) Discuss the correspondence between filtering in the spatial domain and frequency domain. [5 marks]