CompTIA DataX (DY0-001) — Question 5

Which of the following is the layer that is responsible for the depth in deep learning?

Answer options

• A. Convolution
• B. Dropout
• C. Pooling
• D. Hidden

Correct answer: D

Explanation

The correct answer is D, Hidden, as hidden layers in a neural network increase the model's depth, allowing for more complex feature learning. Convolution, Dropout, and Pooling are techniques used within or alongside hidden layers, but they do not inherently add depth to the neural network structure.