Convolutional Neural Network CNN: What Is the Output Volume After Max Pooling with Input 32x32x16, Stride 2, and Filter Size 2?

Learn how to calculate the output volume of a Convolutional Neural Network (CNN) after max pooling. Understand the process using input dimensions 32x32x16, stride 2, and filter size 2.

Table of Contents

Question
Answer
Explanation

Question

You have an input volume that is 32x32x16, and apply max pooling with a stride of 2 and a filter size of 2. What is the output volume?

A. 15x15x16
B. 16x16x16
C. 32x32x8
D. 16x16x8

Answer

B. 16x16x16

Explanation

Max pooling is a down-sampling operation commonly used in Convolutional Neural Networks (CNNs).

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