AI Glossary

Hyperparameter

Coverage in development

Hyperparameters are configuration choices set outside the learned parameters, such as learning rate, architecture width, or batch size.

Definition

Hyperparameters are configuration choices set outside the learned parameters, such as learning rate, architecture width, or batch size.

They are the knobs you set before training, not the weights the model learns by itself.

Optimizer Learning Rate

2026-07-13

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