title: Can I incorporate early stopping into a keras grid search?
body: <p>I'm performing a grid search on multiple hyperparameters and it will probably take a very long time.  There will probably be several combinations that are far from effective and if possible I would like to use early stopping when performing my grid search to prevent it from using the full 100 epochs on every combination of hyperparameters.  If a particular combination has not reduced the loss by a certain amount in the past 5 or 10 epochs I would like to stop testing that combination of hyperparameters and move on to the next candidate.  Is this possible? </p>