GLOSSARY TERM
What is Early Stopping?
A method to halt training when validation performance begins to degrade.
Early stopping monitors the validation metric during training. If the performance fails to improve over a predefined number of epochs, training is terminated to prevent the model from memorizing noise and overfitting the training set.
Efficient Resource Usage
Automate early stopping and resource allocation with intelligent MLOps.