Practice - Padding
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Practice Questions
Test your understanding with targeted questions
What is padding in the context of image processing?
💡 Hint: Think about how to keep the dimensions of an image consistent during processing.
Why do we use zeros for padding?
💡 Hint: Consider how filters work and what not changing values means.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What role does padding play in convolution operations?
💡 Hint: Think about what happens to the corners of images without padding.
True or False: Padding can help maintain the output size of an image during convolution.
💡 Hint: Consider what padding is meant to do during operations.
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Challenge Problems
Push your limits with advanced challenges
A 6x6 image is convolved with a 3x3 filter. If no padding is applied, what will the size of the resulting feature map be? Would that affect accuracy in feature detection?
💡 Hint: Calculate based on the initial dimensions and filter size.
Consider how varying amounts of padding might influence model training in machine learning. Propose different padding strategies for different image sizes.
💡 Hint: Think about how different scenarios might require varying filters and adjustments.
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Reference links
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