As with hyperparameter selection, the dataset similar to but not included in the training dataset is called validation data and includes single black-white initial conditions and their LS descendants. Note that the training and validation datasets differ from those used for hyperparameter selection. The validation dataset used here is generated using initial conditions with evenly spaced values of 𝑏 with spacing ∆𝑏 = 0.0001 and is equivalent to the training data used for NN 10k networks.