5) Artificial Neural Networks [15 marks = 12+3] Assume we have this multi-layer perceptron, with the given input values: 3.7 1.0 A 3.5 2.9 3.7 -4.2 Y 2.0 2.9 B 4.6 -1.5 -2.0 1 1 i) Assuming the same sigmoid function as we discussed in class, calculate the computed output values at hidden layer nodes A and B, and the output node Y. | ii) What other pieces of information do we need to calculate the weight updates for this multi- layer perceptron