2 W1--3 The backpropagation algorithm is applied with the single training input x = 1, for which the desired outputs are d21 and ds -1. During the previous iteration of the backpropagation algorithm, the values of the weights and the measured outputs are: 2 ? The algorithm uses a learning rate of r 10" (a) What is the "benefit" ? for each node of the network that the backpropagation algorithm computes in the current iteration? algo- rithm makes in the current iteration. 2 W1--3 The backpropagation algorithm is applied with the single training input x = 1, for which the desired outputs are d21 and ds -1. During the previous iteration of the backpropagation algorithm, the values of the weights and the measured outputs are: 2 ? The algorithm uses a learning rate of r 10" (a) What is the "benefit" ? for each node of the network that the backpropagation algorithm computes in the current iteration? algo- rithm makes in the current iteration