4. As part of the convolution process in training a convolutional neural network, the kernel in Figure 1 below is slid across the image pixel values in Figure 2. Assume the edges of the image are ignored and the starting position is as illustrated in Figure 3 . The result of convolution at this position is 0.03, as in Figure 4 . Calculate the result of convolution below and to the right of this value (i.e. fill in the missing value in Figure 4). Finally, show the respective results of applying ReLU and max pooling to the resulting 22 matrix. [14MARKS]