tensorflow same valid

最新推荐文章于 2021-09-02 11:28:28 发布

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最新推荐文章于 2021-09-02 11:28:28 发布

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本文通过示例详细解释了在TensorFlow的nn.max_pool操作中，SAME和VALID填充的区别。SAME填充会在输入两侧添加零以保持输出尺寸与输入相同，而VALID填充则不进行填充，直接进行卷积或池化。

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https://stackoverflow.com/questions/37674306/what-is-the-difference-between-same-and-valid-padding-in-tf-nn-max-pool-of-t

If you like ascii art:

"VALID" = without padding:

   inputs:         1  2  3  4  5  6  7  8  9  10 11 (12 13)
                  |________________|                dropped
                                 |_________________|

"SAME" = with zero padding:

               pad|                                      |pad
   inputs:      0 |1  2  3  4  5  6  7  8  9  10 11 12 13|0  0
               |________________|
                              |_________________|
                                             |________________|

In this example:

Input width = 13
Filter width = 6
Stride = 5

Notes:

"VALID" only ever drops the right-most columns (or bottom-most rows).
"SAME" tries to pad evenly left and right, but if the amount of columns to be added is odd, it will add the extra column to the right, as is the case in this example (the same logic applies vertically: there may be an extra row of zeros at the bottom).