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3 cards from this section. Quick, good the night before a test.
What is stride in convolution?
Think about how the filter moves across the image.
What might happen if the stride is increased?
Consider what getting fewer samples might mean.
What does Stride in convolution dictate?
Think about how the filter interacts with the input data.
True or False: A larger stride will always yield a more detailed feature map.
Consider what detail represents in the feature extraction process.
Given an input image size of 10x10 and a filter of size 3x3, calculate the feature map size for a stride of 2 and no padding.
Pay attention to the filter size and stride when calculating.
Discuss how altering the stride from 1 to 4 might impact a facial recognition system's accuracy.
Think about how important subtle details are in the task.
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