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So basically I have been citing the Deep Learning Specialization Course on Coursera offered by Andrew Ng. While explaining the Sliding Windows Algorithm in course 4, i wasn't really sure how the slide dimensions are decided, does it depend on the input image or is it a trail and error kind of a deal?

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