1. What other pieces of information do we need to calculate the weight updates for this multi-layer perceptron?

5) Artificial Neural Networks (15 marks = 12+3] Assume we have this multi-layer perceptron, with the given input values: 3.7 2.0 3.5 2.9 3.7 -4.2 Y 1.0 2.9 B -1.5 -4.6 -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