a) We're going to use a neural network with two inputs, two hidden neurons, two output neurons. Additionally, the hidden and output neurons will include a bias. And we're going to work with a single a training set: given inputs 0.05 and 0.10, we want the neural network to output 0.01 and 0.99. After calculating the four iteration learning steps, calculate the output when xl=0.62 and x2=0.25 (30p) .15 w1 .40 w5 i1 h1 01 .05 20 w2 .45 W6 .01 mo AA 25 w3 .50 w i2 h2 02 .30 w4 .55 W8 .10 .99 b1.35 b2.60