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,, web, wd, wdc,wdO),where w,o represents the threshold weight for unit x. Initialize these weights to the values (.1, . l , . l , . l , .I), then give their values after each of the first two training iterations of the BACKPROP AGA TIaOlgNorithm. Assume learning rate 17 = .3, momentum a! = 0.9, incremental weight updates, and the following training examples: