  We present four training and prediction schedules from the same
character-level recurrent neural network. The efficiency of these schedules is
tested in terms of model effectiveness as a function of training time and
amount of training data seen. We show that the choice of training and
prediction schedule potentially has a considerable impact on the prediction
effectiveness for a given training budget.
