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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a feature map?
💡 Hint: Think about what happens to the image during the filter application.
Question 2
Easy
Name one parameter that affects the convolution operation.
💡 Hint: These parameters dictate how the filter interacts with the input.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the role of a feature map in CNNs?
- To flatten images
- To store filter weights
- To represent detected features
💡 Hint: Think about what feature maps are designed to do.
Question 2
True or False: Padding always decreases the size of the output feature map.
- True
- False
💡 Hint: Consider the purpose of adding zeros around the input.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a diagram illustrating the convolution operation and the resulting feature map for a simple 5x5 image and a 3x3 filter.
💡 Hint: Start with understanding what happens at each step of the convolution.
Question 2
Analyze how changing the stride from 1 to 3 would affect the output feature map size and interpret what that means for feature detection.
💡 Hint: Think about how each stride value translates into filter positions on the input.
Challenge and get performance evaluation