QuestionQ4

VerifiedTrain and use machine learning models

A Data Scientist trained a neural network for 50 epochs. After the network was trained, the results showed high accuracy on the training data but fairly low accuracy on the test data (for example, an overfitting problem).

Which techniques would help resolve the overfitting issue?

Choose two
Explanation

Regularization constrains model complexity, reducing the tendency to fit noise in the training set. Early stopping limits training once validation performance no longer improves, helping the model generalize better to unseen test data.

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