MLS-C01 Question #108: Real Exam Question with Answer & Explanation

Question

A machine learning specialist works for a fruit processing company and needs to build a system that categorizes apples into three types. The specialist has collected a dataset that contains 150 images for each type of apple and applied transfer learning on a neural network that was pretrained on ImageNet with this dataset. The company requires at least 85% accuracy to make use of the model. After an exhaustive grid search, the optimal hyperparameters produced the following: - 68% accuracy on the training set - 67% accuracy on the validation set What can the machine learning specialist do to improve the system's accuracy?

Options

• AUpload the model to an Amazon SageMaker notebook instance and use the Amazon SageMaker
• BAdd more data to the training set and retrain the model using transfer learning to reduce the bias.
• CUse a neural network model with more layers that are pretrained on ImageNet and apply transfer
• DTrain a new model using the current neural network architecture.