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5 cards from this section. Quick, good the night before a test.
What is a kernel/filter in image processing?
Think about what helps in detecting edges or blurring images.
What does padding do in convolution?
Remember it’s about keeping the dimensions intact.
What does a convolution operator primarily do?
Think of the terms we discussed regarding filters and features.
True or False: Stride refers to the number of pixels the filter moves each time.
Remember the filter's movement in our interactive session.
Given a 5x5 grayscale image and a sharpen filter, calculate the resulting feature map after convolution. Show each step of your calculations.
Remember how to multiply the overlapping pixels correctly!
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?
Visualize how far the filter travels! Smaller strides overlap more pixels.
6 more questions in this section. Enroll free to practise them all.
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