Model Definition class VGG11(nn.Module): def __init__(self): super(VGG11, self).__init__() self.relu = nn.ReLU(inplace=True) # Convolution Feature Extraction Part self.conv1 = nn.Conv2d(3, 64, kernel_size=3, padding=1) self.bn1 = nn.BatchNorm2d(64) self.pool1 = nn.MaxPool2d(kernel_size=2, stride=2) self.conv2 = nn.Conv2d(64, 128, kernel_size=3, padding=1) self.bn2 = nn.BatchNorm2d(128) self.pool..