Google Professional Machine Learning Engineer
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Ultimate access to all questions.
After training a deep neural network model on Google Cloud, you observe that the model exhibits low loss on the training data but performs poorly on the validation data, indicating overfitting. To make the model more resilient to overfitting, which strategy should you use when retraining the model?