Construct the MLP model with $3$ input features, $1$ as a target value, one hidden layer with $2$

hidden nodes and output layer with $2$ nodes with the following given initial random weight and bias

values. Find the error and weight updates for single iteration with learning rate $=0\mathrm{.}1.$