Below is a simple neural network (Figure 3) that figures out the background color of an image. The circles are threshold/decision values (t), and weights (w) are on the lines with their values in Table 5. Now, imagine an image with just two pixels, and these pixels decide if the background is black (0) or white (1). Show, step by step with all the calculations, to find the final output (color) for input data given in Table 4, using the given neural network for these pixels,

5. Below is a simple neural network (Figure 3) that figures out the background color of an image. The circles are threshold/decision values (t), and weights ( w ) are on the lines with their values in Table 5. Now, imagine an image with just two pixels, and these pixels decide if the background is black (0) or white (1). Show, step by step with all the calculations, to find the final output (color) for input data given in Table 4, using the given neural network for these pixels. Table 5: Weight's (w) values foralleuteuts={1ifwixit0otherwise Equation 2: Threshold Conditions for Intermediate/Final Outputs