Consider training the following 3-node neural network with the backpropagation algorithm as de- fined in the AI lecture (following the textbook by Winston) W1-2 ?1-7 W1--3 The backpropagation algorithm is applied with the single training input x - 1, for which the desired outputs are d2 1 and ds -1. During the previous iteration of the backpropagation algorithm, the values of the weights and the measured outputs are: W1-23010203 2 The algorithm uses a learning rate of r 10 (a) What is the "benefit" B for each node of the network that the backpropagation algorithm computes in the current iteration? (b) Compute the change in weights ??0-1, ??.2, and ??'l+3 that the backpropagation algo- rithm makes in the current iteration Consider training the following 3-node neural network with the backpropagation algorithm as de- fined in the AI lecture (following the textbook by Winston) W1-2 ?1-7 W1--3 The backpropagation algorithm is applied with the single training input x - 1, for which the desired outputs are d2 1 and ds -1. During the previous iteration of the backpropagation algorithm, the values of the weights and the measured outputs are: W1-23010203 2 The algorithm uses a learning rate of r 10 (a) What is the "benefit" B for each node of the network that the backpropagation algorithm computes in the current iteration? (b) Compute the change in weights ??0-1, ??.2, and ??'l+3 that the backpropagation algo- rithm makes in the current iteration