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?

Exam-Like

Apply a dropout parameter of 0.2, and decrease the learning rate by a factor of 10.

9.7%

Apply a L2 regularization parameter of 0.4, and decrease the learning rate by a factor of 10.

11.1%

Run a hyperparameter tuning job on AI Platform to optimize for the L2 regularization and dropout parameters.

77.8%

Run a hyperparameter tuning job on AI Platform to optimize for the learning rate, and increase the number of neurons by a factor of 2.

1.4%

Google Professional Machine Learning Engineer