now plot and visualization taskplt figure(plt plot(errorplt xlabel('number of epochs'plt ylabel('error'plt title('training error progress'now we will be plotting the actual versus predicted outputx_dense np linspace(min_valmax_valnum_points y_dense_pred=neural_net sim(x_dense reshape(x_dense size, )reshape(x_dense si zeplt figure(plt plot(x_densey_dense_pred'-'xy'xy_pred' 'plt title('actual vs predicted'plt show(as result of the above commandsyou can observe the graphs as shown below