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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does a convolution operator do?
💡 Hint: Think about image processing.
Question 2
Easy
What is a filter in convolution?
💡 Hint: It's another name for the kernel.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does the convolution operator primarily do in image processing?
💡 Hint: Focus on what convolution's purpose is.
Question 2
True or False: The feature map is the same size as the original image.
💡 Hint: Think about your class discussions on stride.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Imagine a 7x7 image matrix and a 3x3 filter. If the stride is 2, what would be the dimensions of the resulting feature map?
💡 Hint: Consider how the filter moves across the image and how many regions it can effectively cover.
Question 2
You have a non-square kernel (2x3) applied to a 4x4 image. Describe what happens during the convolution operation.
💡 Hint: Think about both the filter’s dimensions and how they interact with the image dimensions.
Challenge and get performance evaluation