Q$2.$ Consider a multilayer feedforward neural network given below. Let the learning rate be $0\mathrm{.}5.$ Assume initial values of weights and biases s given by the table below. Train the network for the training tuples $(1,1,0)$ and $,1),$ were the last number is target output. Show weight and bias updates by using Back Propagation algorithm. Assume that Sigmoid activation function is used in the network.

$\backslash$table$[[$W$13,$W$14,$W$23,$W$24,$W$35,$W$45,$b$3,$b$4,$b$5],[0\mathrm{.}5,0\mathrm{.}2,-0\mathrm{.}3,0\mathrm{.}5,0\mathrm{.}1,0\mathrm{.}3,0\mathrm{.}6,-0\mathrm{.}4,0\mathrm{.}8]]$

Weight and Bias values

Compute and display the outputs for two iterations.