You are building a deep convolutional neural network (CNN) for image classification. You observe signs of overfitting in the model and want to ensure overfitting is minimized while the model converges to an optimal fit.

Which of the following statements is TRUE for achieving this goal?

Exam-Like

You have to add an additional dense layer with 512 input units, and reduce the amount of training data.

0.0%

You have to add L1/L2 regularization, and reduce the amount of training data.

0.0%

You have to reduce the amount of training data and make use of training data augmentation.

0.0%

You have to add L1/L2 regularization, and make use of training data augmentation.

100.0%

You have to add an additional dense layer with 512 input units, and add L1/L2 regularization.

Microsoft Certified Azure Data Scientist Associate - DP-100