不同卷积：transposed convolution，deconvolution，dilated convolution
前言
本文言简意赅的说明了反卷积（deconvlution），卷积（convolution），转置卷积（transposed convolution），空洞卷积（dilated convolution）的区别
1 deconvlution == transposed convolution
之前人觉得叫deconvolution 不够严谨，所以改成了叫 transposed convolution
deconv 就是 还原尺寸，其他没啥。
2 对比
这里我看到网上github 上讲的最好，有时候打开github 比较慢，我这里复制了下来
链接：https://github.com/vdumoulin/conv_arithmetic/tree/master
2.1 Convolution animations
N.B.: Blue maps are inputs, and cyan maps are outputs.
| no padding, no strides Arbitrary | padding, no strides | Half padding, no strides | Full padding, no strides | No padding, strides | Padding, strides | Padding, strides (odd) |
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2.2 Transposed convolution animations
N.B.: Blue maps are inputs, and cyan maps are outputs.
| no padding, no strides, transposed | Arbitrary padding, no strides, transposed | Half padding, no strides, transposed | Full padding, no strides, transposed | No padding, strides, transposed | Padding, strides, transposed | Padding, strides (odd), transposed |
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2.3 Dilated convolution
N.B.: Blue maps are inputs, and cyan maps are outputs.
| No padding, no stride, dilation |
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