Hyperparameter

Category: science

A configuration variable that is set before the training process begins.

Parameters are what the AI learns (the weights). Hyperparameters are what *you* set (the settings). You can't let the AI learn the settings; you must manually optimize them to ensure the model has the "best chance" to succeed during its learning phase.

Common Examples

• Our framework includes over fifty distinct hyperparameters, requiring a structured tuning phase to prevent poor model convergence.
• Careful documentation of your chosen hyperparameters is required for model reproducibility in our production engineering environment.