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Project 21: Early Stopping Callback Demo

ML Engineer

Builds on these lessons

Callbacks
Current Task

Objective

Callbacks hook into training at specific points — EarlyStopping halts training once a monitored metric stops improving for `patience` epochs.

Task: create an EarlyStopping callback watching loss and print its patience value.

index.py
import tensorflow as tf early_stop = tf.keras.callbacks.EarlyStopping(monitor='loss', patience=3) print(early_stop.patience)

* Hint: Correct characters turn green, incorrect ones turn red.

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