A data scientist is training a deep learning model aws video

Full Certification Question

A data scientist is training a deep learning model for image classification using a convolutional neural network (CNN). The model performs exceptionally well on the training data but significantly underperforms on new, unseen images. To minimize overfitting and improve the model's generalization to new data, which TWO of the following approaches should the data scientist take? (Select TWO)