Curve-Fitting ( model prediction ) by Neural Networks- Stochastic Gradient Descent

In this video , two bounded inputs generate an output by semi-linear function, the function is then predicted by NN after learning the network.
In the second episode , the model complexity is increased for the same inputs , but the two hidden layers NN shows much more error in the prediction this time , so it should be increased and deepened in order to learn more.