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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a kernel/filter in image processing?
💡 Hint: Think about what helps in detecting edges or blurring images.
Question 2
Easy
What does padding do in convolution?
💡 Hint: Remember it’s about keeping the dimensions intact.
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 does a convolution operator primarily do?
- Enhances Images
- Detects Text
- Averages Colors
💡 Hint: Think of the terms we discussed regarding filters and features.
Question 2
True or False: Stride refers to the number of pixels the filter moves each time.
- True
- False
💡 Hint: Remember the filter's movement in our interactive session.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a 5x5 grayscale image and a sharpen filter, calculate the resulting feature map after convolution. Show each step of your calculations.
💡 Hint: Remember how to multiply the overlapping pixels correctly!
Question 2
Discuss the impact of different stride values on the feature map's dimensions. How would a stride of 2 differ from a stride of 1?
💡 Hint: Visualize how far the filter travels! Smaller strides overlap more pixels.
Challenge and get performance evaluation