可以给出具体修改的代码吗?
时间: 2023-08-07 12:05:52 浏览: 35
以下是一些可能的修改代码:
1. 增加卷积层和卷积核大小
```
net = nn.Sequential(
nn.Conv2d(3, 96, kernel_size=7, stride=2, padding=3), nn.ReLU(),
nn.MaxPool2d(kernel_size=3, stride=2),
nn.Conv2d(96, 256, kernel_size=5, padding=2), nn.ReLU(),
nn.MaxPool2d(kernel_size=3, stride=2),
nn.Conv2d(256, 384, kernel_size=3, padding=1), nn.ReLU(),
nn.Conv2d(384, 384, kernel_size=3, padding=1), nn.ReLU(),
nn.Conv2d(384, 256, kernel_size=3, padding=1), nn.ReLU(),
nn.MaxPool2d(kernel_size=3, stride=2),
nn.Flatten(),
nn.Linear(6400, 4096), nn.ReLU(),
nn.Dropout(p=0.5),
nn.Linear(4096, 4096), nn.ReLU(),
nn.Dropout(p=0.5),
nn.Linear(4096, 10)
)
```
2. 调整卷积层的参数
```
net = nn.Sequential(
nn.Conv2d(3, 96, kernel_size=11, stride=1, padding=5), nn.ReLU(),
nn.MaxPool2d(kernel_size=3, stride=2),
nn.Conv2d(96, 256, kernel_size=5, padding=2), nn.ReLU(),
nn.MaxPool2d(kernel_size=3, stride=2),
nn.Conv2d(256, 384, kernel_size=3, padding=1, stride=2), nn.ReLU(),
nn.Conv2d(384, 384, kernel_size=3, padding=1), nn.ReLU(),
nn.Conv2d(384, 256, kernel_size=3, padding=1), nn.ReLU(),
nn.MaxPool2d(kernel_size=3, stride=2),
nn.Flatten(),
nn.Linear(6400, 4096), nn.ReLU(),
nn.Dropout(p=0.5),
nn.Linear(4096, 4096), nn.ReLU(),
nn.Dropout(p=0.5),
nn.Linear(4096, 10)
)
```
3. 调整全连接层的参数
```
net = nn.Sequential(
nn.Conv2d(3, 96, kernel_size=11, stride=4, padding=1), nn.ReLU(),
nn.MaxPool2d(kernel_size=3, stride=2),
nn.Conv2d(96, 256, kernel_size=5, padding=2), nn.ReLU(),
nn.MaxPool2d(kernel_size=3, stride=2),
nn.Conv2d(256, 384, kernel_size=3, padding=1), nn.ReLU(),
nn.Conv2d(384, 384, kernel_size=3, padding=1), nn.ReLU(),
nn.Conv2d(384, 256, kernel_size=3, padding=1), nn.ReLU(),
nn.MaxPool2d(kernel_size=3, stride=2),
nn.Flatten(),
nn.Linear(6400, 8192), nn.ReLU(),
nn.Dropout(p=0.5),
nn.Linear(8192, 4096), nn.ReLU(),
nn.Dropout(p=0.5),
nn.Linear(4096, 10)
)
```
4. 调整优化器的参数
```
optimizer = torch.optim.SGD(net.parameters(), lr=0.01, momentum=0.9, weight_decay=0.0001)
```
需要注意的是,这些修改仅仅是示例,具体的修改应该根据实际情况进行调整。
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