Your team is developing a machine learning model to classify images into three distinct categories: driver's licenses, passports, and credit cards. The dataset provided consists of 10,000 images of driver's licenses, 1,000 passports, and 1,000 credit cards, each accurately labeled. Given the imbalance in the dataset and the requirement for high accuracy in classification, which loss function would be most suitable for training this model? Consider the need for efficient training and the model's performance on the minority classes. Choose the best option from the following: | Google Professional Machine Learning Engineer Quiz