Consider a two-layer feedforward ANN with two inputs and , one hidden unit , and one output unit . This network has 5 weights (_a, _b, ₀, _c , ₀), where ₀ represents the threshold weight for unit . 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 sum of squared errors-based Backpropagation algorithm. Assume learning rate = 0.3, momentum = 0.9, incremental weight updates, and the following training examples:

a	b	d
1	0	1
0	1	0