[Solved] Given this code snippet for training with early stopping, what will be printed? from tensorflow.keras.... Given this code snippet for training with early stopping, what will be printed? | Agentic AI

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Given this code snippet for training with early stopping, what will be printed?

from tensorflow.keras.callbacks import EarlyStopping
early_stopping = EarlyStopping(monitor='val_loss', patience=2)
history = model.fit(X_train, y_train, epochs=10, validation_split=0.2, callbacks=[early_stopping])
print(len(history.history['loss']))

ALess than 10

B10

CMore than 10

DError because EarlyStopping is not defined

Step-by-Step Solution

Solution:

Step 1: Understand EarlyStopping behavior
EarlyStopping stops training early if validation loss does not improve for 'patience' epochs, so training may stop before 10 epochs.
Step 2: Predict length of loss history
Since training can stop early, the number of loss entries will be less than 10.
Final Answer:
Less than 10 -> Option A
Quick Check:
EarlyStopping stops early, so epochs run < 10 [OK]

Quick Trick: EarlyStopping can reduce epochs, so history length is less than max [OK]

Common Mistakes:

Assuming training always runs full 10 epochs
Confusing patience with number of epochs
Thinking EarlyStopping causes errors if used correctly

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Given this code snippet for training with early stopping, what will be printed?

Step 1: Understand EarlyStopping behavior

Step 2: Predict length of loss history

Final Answer:

Quick Check:

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