you're given a loss function which the loss function here could be the cross entropy between the outputs of the network which we'll call L and the label Y and your task is now to find a neural network architecture that conforms to these specifications but gives the lowest possible loss or de sorry the highest possible validation accuracy in this case so this here would be like the Train and then you'd have the test accuracy or the validation accuracy okay so you could decide well I'm gonna go with you know first like three