CNN Concepts Quiz

CNN Concepts Quiz

12th Grade

50 Qs

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CNN Concepts Quiz

CNN Concepts Quiz

Assessment

Quiz

Engineering

12th Grade

Practice Problem

Medium

Created by

D M

Used 1+ times

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50 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 2 pts

What does a convolutional layer do in a CNN?

Extracts features from the input image

Reduces the dimensionality of the input

Combines multiple feature maps

Adds regularization to the model

2.

MULTIPLE CHOICE QUESTION

1 min • 2 pts

What is the main purpose of a pooling layer?

To increase the size of feature maps

To reduce the computational cost and overfitting

To perform element-wise multiplication

To normalize the feature maps

3.

MULTIPLE CHOICE QUESTION

1 min • 2 pts

Which of the following is true about max pooling?

It averages pixel values across a region

It selects the maximum value in a region of the feature map

It applies a convolutional operation to input data

It reduces the number of filters in a layer

4.

MULTIPLE CHOICE QUESTION

1 min • 2 pts

Why are smaller filters (e.g., 3x3) preferred in modern CNN architectures?

They reduce computation and capture local patterns

They enhance overfitting

They reduce vanishing gradients

They increase spatial dimensions

5.

MULTIPLE CHOICE QUESTION

1 min • 2 pts

What is the primary role of a CNN?

To learn hierarchical spatial features from input images

To predict sequential data

To minimize the dimensionality of input data

To solve overfitting issues

6.

MULTIPLE CHOICE QUESTION

1 min • 2 pts

Which of the following is NOT a part of a standard CNN architecture?

Convolutional Layer

Pooling Layer

Activation Layer

Recurrence Layer

7.

MULTIPLE CHOICE QUESTION

1 min • 2 pts

What is the input to a CNN model typically?

Flattened vector

Raw image data

Audio signal

One-hot encoded labels

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