帮我画一个图,首先网络接收一个100*1随机噪声,经过全连接层转化为一个8*8*256的feature map,然后进行一次卷积核大小为5*5,pad=2,stride=1的反卷积操作,再进行两次卷积核为4*4,pad=2,stride=2的反卷积操作,最终化为32*32*3大小
时间: 2024-04-01 11:35:01 浏览: 23
好的,我会根据您的描述画出相应的图,如下所示:
```
+------+ +------------+ +------------+ +------------+
| Input| | Fully | | Conv2D | | Conv2D |
| Data | | Connected | | Transpose | | Transpose |
| | | Layer | | Layer | | Layer |
+------+ +-----+------+ +-----+------+ +-----+------+
| | |
v v v
+------------+ +------------+ +------------+ +------------+
| 8x8x256 | | 8x8x256 | | 16x16x128 | | 32x32x64 |
| Featuremap | | Featuremap | | Featuremap | | Featuremap |
+-----+------+ +-----+------+ +-----+------+ +-----+------+
| | | |
v v v v
+------------+ +------------+ +------------+ +------------+
| 16x16x128 | | 16x16x128 | | 32x32x64 | | 32x32x3 |
| Featuremap | | Featuremap | | Featuremap | | Output |
+-----+------+ +-----+------+ +-----+------+ +------------+
| | |
v v v
+------------+ +------------+ +------------+
| 32x32x64 | | 32x32x64 | | 32x32x3 |
| Featuremap | | Featuremap | | Output |
+-----+------+ +-----+------+ +------------+
| |
v v
+------------+ +------------+
| 32x32x3 | | 32x32x3 |
| Output | | Output |
+------------+ +------------+
```
希望对您有所帮助!