Learn how to calculate the output volume of a Convolutional Neural Network (CNN) after applying max pooling with specific parameters. Understand why the correct answer is 32x32x12 for CNN certification exams.
Table of Contents
Question
You have an input volume that is 128x128x12, and apply max pooling with a stride of 4 and a filter size of 4. What is the output volume?
A. 64 x 64 x 12
B. 128 × 128 × 3
C. 32 x 32 x 3
D. 32 x 32 × 12
Answer
D. 32 x 32 × 12
Explanation
Why Other Options Are Incorrect
A. 64 x 64 x 12: This would result from a stride of 2, not 4.
B. 128 × 128 × 3: Incorrect because pooling does not increase spatial dimensions or reduce depth.
C. 32 x 32 x 3: Incorrect because depth remains unchanged at 12.
Convolutional Neural Network CNN certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Convolutional Neural Network CNN exam and earn Convolutional Neural Network CNN certification.