MLS-C01 Question #13: Real Exam Question with Answer & Explanation

Question

A Machine Learning Specialist built an image classification deep learning model. However, the Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and 75%, respectively. How should the Specialist address this issue and what is the reason behind it?

Options

• AThe learning rate should be increased because the optimization process was trapped at a local
• BThe dropout rate at the flatten layer should be increased because the model is not generalized
• CThe dimensionality of dense layer next to the flatten layer should be increased because the model
• DThe epoch number should be increased because the optimization process was terminated before