CNN Layer

CNN Layer

University

10 Qs

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CNN Layer

CNN Layer

Assessment

Quiz

Engineering

University

Practice Problem

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10 questions

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1.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

1. What is the primary function of a convolutional layer in a CNN?

a) Reduce the number of parameters

b) Detect spatial patterns and features

c) Convert the image to grayscale

d) Flatten the image into a vector

2.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

2. Which CNN layer helps reduce spatial dimensions while preserving key features?

a) Convolutional layer

b) Fully connected layer

c) Pooling layer

d) Batch normalization layer

3.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

3. In an RGB image, how many channels does the input have?

a) 1

b) 2

c) 3

d) 4

4.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

4) Which CNN layer typically appears at the end of the architecture for classification tasks?

a) Convolutional layer

b) Pooling layer

c) Fully connected layer

d) Dropout layer

5.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

5) . How does transposed convolution differ from standard convolution?

a) It increases the spatial dimensions instead of decreasing them

b) It replaces convolutional layers with fully connected layers

c) It does not use filters or kernels

d) It operates only on grayscale images

6.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

6) Which application commonly uses transposed convolutional networks?

a) Image classification

b) Image segmentation and generation

c) Sentiment analysis

d) Reinforcement learning

7.

MULTIPLE CHOICE QUESTION

10 sec • 5 pts

7) In which of the following applications is CNN-based color processing commonly used?

a) Image segmentation and colorization

b) Sentiment analysis and speech recognition

c) Reinforcement learning and game AI

d) Data compression and encryption

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