For next-frame prediction, our model will be using a previous frame, which we'll call f_n, to predict a new frame, called f_(n + 1). To allow the model to create these predictions, we'll need to process the data such that we have \"shifted\" inputs and outputs, where the input data is frame x_n, being used to predict frame y_(n + 1).