What Does Hyperparameter Mean?
A hyperparameter is a machine learning parameter whose value is chosen before a learning algorithm is trained. Hyperparameters should not be confused with parameters. In machine learning, the label parameter is used to identify variables whose values are learned during training.
Every variable that an AI engineer or ML engineer chooses before model training begins can be referred to as a hyperparameter -- as long as the value of the variable remains the same when training ends.
Examples of hyperparameters in machine learning include: