Monitor Overfitting with EarlyStopping

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Use EarlyStopping to monitor metrics and stop training once overfitting is detected.pythonCopy codefrom tensorflow.keras.callbacks import EarlyStopping early_stop = EarlyStopping(monitor='val_loss', patience=5, restore_best_weights=True) model.fit(X_train, y_train, validation_data=(X_val, y_val), epochs=50, callbacks=[early_stop])
This is an essential tool to stop training once the model starts overfitting, saving time and resources.

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