Practice Convolutional Neural Network (cnn) (8.4.2) - Neural Network - CBSE 11 AI (Artificial Intelligence)

Practice: Convolutional Neural Network (CNN)

Lesson 8.4.2Neural Network

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9 questions

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6 sample questions

Question 1.
What is the primary function of a convolutional layer in a CNN?
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Think about what happens to an image when you use a magnifying glass.
Question 2.
Name one application of CNNs.
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Consider technologies we often use daily.
3Question 3.
What does a convolutional layer do?
- A. Reduces the size of feature maps
- B. Applies filters to an image
- C. Classifies images
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Think of what the first step in analyzing an image is.
4Question 4.
True or False: Pooling layers are used to increase the size of feature maps.
- True
- False
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Reflect on the purpose of simplifying data.
Question 5.
Design a simple CNN architecture for a task involving digit recognition using the MNIST dataset. Discuss the layers you would include and the reasons for their selection.
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Consider the nature of the data you are using—how many features do you envision needing to analyze?
Question 6.
Evaluate the trade-offs involved in increasing the depth of a CNN. How does deeper architecture influence computational needs and performance?
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Think about how complexity both enables nuances in learning but also adds to the processing burden.

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