假设输入形状为 
卷积核形状为
如果我们添加 
行填充（大约一半在顶部，一半在底部）
和
列填充（左侧大约一半，右侧一半）
卷积神经网络中卷积核的高度和宽度通常为奇数，
例如 1、3、5 或 7。
选择奇数的好处是，保持空间维度的同时，
我们可以在顶部和底部填充相同数量的行，
在左侧和右侧填充相同数量的列。
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在许多情况下，我们需要设置
和 
，
使输入和输出具有相同的高度和宽度。
(步长为1)
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