4.7 Consider a two-layer feedforward ANN with two inputs a and b, one hidden unit c, and one output unit d. This network has five weights (w_ca, w_cb, w_CO, w_dc, w_dO) where w_xo represents the threshold weight for unit x. Initialize these weights to the values (0.1, 0.1,0.1,0.1,0.1,0.1), then give their values after each of the first two training iterations of the BACKPROPAGATION Algorithm. Assume learning rate eta = .3, momentum alpha = 0.9, incremental weight updates, and the following training examples: a b d 1 0 1 0 1 0 Show your work as you work through this and Give the weight values after each iteration of the first two training iterations. Values after Iteration 1: Values after Iteration 2