- self.conv2 = nn.Conv2d( 32, 256, kernel_size=5, padding=2)
- self.conv3 = nn.Conv2d(256, 256, kernel_size=3, padding=1)
- self.conv4 = nn.Conv2d(256, 256, kernel_size=3, padding=1)
- self.conv5 = nn.Conv2d(256, 256, kernel_size=3, padding=1)
- self.conv6 = nn.Conv2d(256, 256, kernel_size=3, padding=1)
- self.conv7 = nn.Conv2d(256, 256, kernel_size=3, padding=1)
- self.fc1 = nn.Linear(4096, 512)
- self.fc2 = nn.Linear(512, 512)
- self.fc3 = nn.Linear(512, 2)
+ self.conv2 = nn.Conv2d( 32, 128, kernel_size=5, padding=2)
+ self.conv3 = nn.Conv2d(128, 128, kernel_size=3, padding=1)
+ self.conv4 = nn.Conv2d(128, 128, kernel_size=3, padding=1)
+ self.conv5 = nn.Conv2d(128, 128, kernel_size=3, padding=1)
+ self.conv6 = nn.Conv2d(128, 128, kernel_size=3, padding=1)
+ self.conv7 = nn.Conv2d(128, 128, kernel_size=3, padding=1)
+ self.fc1 = nn.Linear(2048, 256)
+ self.fc2 = nn.Linear(256, 256)
+ self.fc3 = nn.Linear(256, 2)