Given the artificial neural network, perform one training iteration using back-propagation for the input value of...

 

Transcribed Image Text:

Given the artificial neural network, perform one training iteration using back-propagation for the input value of (0, 1) using XOR operation. The activation function to be used in the training is the sigmoid function. Initial values for all weights and thresholds will be taken as 0.5. Learning rate is 0.1. Momentum will not be employed. Show all your intermediate calculations with detailed equations in parts a, b and c. x1 x2 1 2 Input Layer W13 a. (5 points) Feed-forward phase: c. (5 points) Update phase: Wzy W24 W14 b. (5 points) Back-propagation phase: 3 to. -1 Hidden Layer W35 W45 10. 5 Output Layer Given the artificial neural network, perform one training iteration using back-propagation for the input value of (0, 1) using XOR operation. The activation function to be used in the training is the sigmoid function. Initial values for all weights and thresholds will be taken as 0.5. Learning rate is 0.1. Momentum will not be employed. Show all your intermediate calculations with detailed equations in parts a, b and c. x1 x2 1 2 Input Layer W13 a. (5 points) Feed-forward phase: c. (5 points) Update phase: Wzy W24 W14 b. (5 points) Back-propagation phase: 3 to. -1 Hidden Layer W35 W45 10. 5 Output Layer