Editing Neural network (machine learning) (section)

=== Hyperparameter ===
{{Main|Hyperparameter (machine learning)}}
A [[hyperparameter (machine learning)|hyperparameter]] is a constant [[parameter]] whose value is set before the learning process begins. The values of parameters are derived via learning. Examples of hyperparameters include [[learning rate]], the number of hidden layers and batch size.{{cn|date=June 2024}} The values of some hyperparameters can be dependent on those of other hyperparameters. For example, the size of some layers can depend on the overall number of layers.{{citation needed|date=October 2024}}