MLS-C01 Question #104: Real Exam Question with Answer & Explanation

Question

A health care company is planning to use neural networks to classify their X-ray images into normal and abnormal classes. The labeled data is divided into a training set of 1,000 images and a test set of 200 images. The initial training of a neural network model with 50 hidden layers yielded 99% accuracy on the training set, but only 55% accuracy on the test set. What changes should the Specialist consider to solve this issue? (Choose three.)

Options

• AChoose a higher number of layers
• BChoose a lower number of layers
• CChoose a smaller learning rate
• DEnable dropout
• EInclude all the images from the test set in the training set
• FEnable early stopping