Exercise

Early stopping your model

The early stopping callback is useful since it allows for you to stop the model training if it no longer improves after a given number of epochs. To make use of this functionality you need to pass the callback inside a list to the model's callback parameter in the .fit() method.

The model you built to detect fake dollar bills is loaded for you to train, this time with early stopping. X_train, y_train, X_test and y_test are also available for your use.

Instructions

100 XP

Import the EarlyStoppingcallback from tensorflow.keras.callbacks.
Define a callback, monitor 'val_accuracy' with a patience of 5 epochs.
Train your model using the early stopping callback.