Practice Padding - 22.2.5 | 22. Convolution Operator | CBSE Class 10th AI (Artificial Intelleigence)
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22.2.5 - Padding

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is padding in the context of image processing?

💡 Hint: Think about how to keep the dimensions of an image consistent during processing.

Question 2

Easy

Why do we use zeros for padding?

💡 Hint: Consider how filters work and what not changing values means.

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 role does padding play in convolution operations?

  • A) It decreases image size
  • B) It allows edge processing
  • C) It makes processing slower

💡 Hint: Think about what happens to the corners of images without padding.

Question 2

True or False: Padding can help maintain the output size of an image during convolution.

  • True
  • False

💡 Hint: Consider what padding is meant to do during operations.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation