Model Validation - II
Explore how to apply early stopping in Keras to optimize deep learning models. Understand how to monitor validation scores and stop training when improvements cease, using the patience parameter. This lesson guides you to fine-tune model training for better accuracy while avoiding overfitting.
We'll cover the following...
We'll cover the following...
🎯 Goal: Keep training until the validation score is improving and stop training when it is not improving. Do this with an early stopping monitor.
Early stopping
The early stopping monitor allows continual training of the model until the validation score stops to improve before fitting the model.
Early stopping in Keras
The monitor takes the argument patience, i.e., how many epochs the model can take without improving ...