反卷积的真正含义

Transpose convolution (was Deconvolution)

转载自:http://datascience.stackexchange.com/questions/6107/what-are-deconvolutional-layers

Deconvolution layer is a very unfortunate name and should rather be called a transposed convolutional layer.

Visually, for a transposed convolution with stride one and no padding, we just pad the original input (blue entries) with zeroes (white entries) (Figure 1).
反卷积的真正含义_第1张图片
In case of stride two and padding, the transposed convolution would look like this (Figure 2):
反卷积的真正含义_第2张图片
You can find more (great) visualisations of convolutional arithmetics here.

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