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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is an image matrix?
💡 Hint: Think about how images are structured on your computer.
Question 2
Easy
What does a kernel do in image processing?
💡 Hint: What small matrix could be used to identify edges?
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 is the main purpose of a convolution kernel?
💡 Hint: Think about what kind of operations a kernel performs.
Question 2
True or False: Padding is necessary to reduce the image dimensions after convolution.
💡 Hint: Remember the purpose of adding extra pixels around images.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a 5x5 image matrix and a 3x3 kernel, find the resulting feature map after applying the convolution with a stride of 1 and no padding. Show your calculations.
💡 Hint: Structure your work step by step while sliding the kernel across the image.
Question 2
Explain how varying the stride value affects the resolution and detail of the resulting feature map.
💡 Hint: Consider the impact of movement through the image and the data missed during this stride.
Challenge and get performance evaluation