Glossary · Model Training
Learning Rate
A hyperparameter controlling how large a step gradient descent takes when updating model parameters — too high causes unstable training, too low makes training impractically slow.
Glossary · Model Training
A hyperparameter controlling how large a step gradient descent takes when updating model parameters — too high causes unstable training, too low makes training impractically slow.