The meaning of "same conv"?

RIght, the channels are independent. But be sure not to miss the key point that Kezhen made here:

If you specify “same” padding in TensorFlow, the only case in which the h and w dimensions actually stay the same is if the stride is 1. If the stride is > 1, the padding is calculated for “same” with stride = 1, which means the h and w dimensions are actually reduced. Here’s a thread which discusses this in a bit more detail.

1 Like