1 Solve the following questions during the lecture time and upload your answers to the Moodle. Single Layer Perceptron 1.a In the perceptron below (Figure 1), what will be the output of the perceptron if the input was (0, 1). (1, 1) and (1, 0)? What if we change the bias weight to -0.5? use below table to illustrate your answer: Answer: -1.5 1 Figure 1: Single Layer Perceptron. b 1 Bias -1.5 Input Weighted sum Output Input Bias -0.5 Weighted sum Output (0.0) -1.5 (0.0) -0.5 (0,1) -0.5 (0,1) 0.5 (1,0) -0.5 (1.0) 0.5 (1.1) 0.5 (1.1) 1.5 1.b Consider starting with random weights, how do you expect the train results of the perceptron above to perform any given binary operation? disscuss in details your thoughts about the answer: Answer: