An input image has the size of 140x140 and we use a filter (kernel) with the size of 20x20. We then convolve the input image with the filter. a If we do not use padding and stride is 1, the output size will be axa, where a is b. If we use padding of 5 with stride 1, the output size will be bxb, where b is c If we use no padding and stride is 5, the output size will be xC, where c is a. If we use padding of 5 with the stride 5, the output size will be dxd, where d is

Database System Concepts
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Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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An input image has the size of 140x140 and we use a filter (kernel) with the size of 20x20. We then convolve the input image with
the filter.
a. If we do not use padding and stride is 1, the output size will be oxa, where a is
b. If we use padding of 5 with stride 1, the output size will be bxb, where b is
e If we use no padding and stride is 5, the output size will be cxc, where c is
d. If we use padding of 5 with the stride 5, the output size will be dxd, where d is
Transcribed Image Text:An input image has the size of 140x140 and we use a filter (kernel) with the size of 20x20. We then convolve the input image with the filter. a. If we do not use padding and stride is 1, the output size will be oxa, where a is b. If we use padding of 5 with stride 1, the output size will be bxb, where b is e If we use no padding and stride is 5, the output size will be cxc, where c is d. If we use padding of 5 with the stride 5, the output size will be dxd, where d is
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