Practice Structure Of A Cnn (23.4) - Convolutional Neural Network (CNN)

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8 questions

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6 sample questions

Question 1.
What does the input layer do in a CNN?
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Think about what happens first when an image is fed into the network.
Question 2.
What does a feature map represent?
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Consider what happens after applying filters to the image.
3Question 3.
What is the primary function of the input layer in a CNN?
- It extracts features
- It stores data
- It receives images
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Think about where the process starts.
4Question 4.
True or False: The pooling layer increases the size of the feature maps.
- True
- False
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How does pooling affect data size?
Question 5.
Design a simple CNN structure using the discussed layers and define what each layer’s function will be on an image of your choice.
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Think about how each layer processes the image step by step and what features are important.
Question 6.
Explain why the ReLU activation function is preferred over others in CNN architecture.
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Consider what happens to negative values and how this impacts learning.

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