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

Practice - Structure of a CNN

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the input layer do in a CNN?

💡 Hint: Think about what happens first when an image is fed into the network.

Question 2 Easy

What does a feature map represent?

💡 Hint: Consider what happens after applying filters to the image.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary function of the input layer in a CNN?

It extracts features
It stores data
It receives images

💡 Hint: Think about where the process starts.

Question 2

True or False: The pooling layer increases the size of the feature maps.

True
False

💡 Hint: How does pooling affect data size?

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a simple CNN structure using the discussed layers and define what each layer’s function will be on an image of your choice.

💡 Hint: Think about how each layer processes the image step by step and what features are important.

Challenge 2 Hard

Explain why the ReLU activation function is preferred over others in CNN architecture.

💡 Hint: Consider what happens to negative values and how this impacts learning.

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Reference links

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