The initial weights are assigned as shown in the figure. To train our neural network, we need to find the weights that minimize prediction error. To answer this question, start with forward propagation, and then back propagation. Use the sigmoid function S$($x$)$ as an activation function. Show your steps for two rounds of output predictions and calculate the error in each case.