CompTIA DataX (DY0-001) — Question 72

Which of the following types of layers is used to downsample feature detection when using a convolutional neural network?

Answer options

• A. Pooling
• B. Input
• C. Output
• D. Hidden

Correct answer: A

Explanation

The correct answer is A. Pooling layers are specifically designed to downsample feature maps and reduce their dimensionality while retaining important information. The other options do not serve this purpose; Input layers accept data, Output layers produce results, and Hidden layers perform computations but do not necessarily reduce dimensions.