Intermediate
Artificial Intelligence & Machine Learning
Q72 / 100
What is early stopping during neural network training?
Correct! Well done.
Incorrect.
The correct answer is B) Monitoring performance on a validation set and halting training once it stops improving, to prevent the model from overfitting to the training data
B
Correct Answer
Monitoring performance on a validation set and halting training once it stops improving, to prevent the model from overfitting to the training data
Explanation
Early stopping tracks a validation metric (such as validation loss) and stops training once it stagnates or worsens for a set number of epochs (patience). This acts as an implicit regularizer, halting training before the model starts memorizing the training set.
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