3.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 (wca,wcb,wc0,wdc,wd0), where wx0 represents the threshold weight for unit x. Initialize these weights to the values (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 algo rithm. Assume learning rate η=0.3, momentumα=0.9, incremental weight updates, and the following training examples: abd 101 010