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Implementing early stopping in Keras is straightforward: from keras.callbacks import EarlyStopping early_stopping = EarlyStopping(monitor='val_loss', patience=10) history = model.fit(X_train, y_train, epochs=100, batch_size=25, validation_split=0.2, callbacks=[early_stopping]) Here, patience=10