Given the following artificial neural network, Unit A$,$ B$,$ C$,$ and D are input units with associated data values. Unit $H$ is the output unit with the target value. All connection weights and the bias inputs are set to $0\mathrm{.}5$ initially. Using both feedforward and backpropagation processes, iterate the network once and update all connection weights and the bias inputs.

Input layer

Hidden layer

Output layer