本文整理汇总了Python中models.resnet152方法的典型用法代码示例。如果您正苦于以下问题：Python models.resnet152方法的具体用法？Python models.resnet152怎么用？Python models.resnet152使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类models的用法示例。
在下文中一共展示了models.resnet152方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: create_model
# 需要导入模块: import models [as 别名]
# 或者: from models import resnet152 [as 别名]
def create_model(name, num_classes):
if name == 'resnet34':
model = models.resnet34(True)
model.fc = nn.Linear(model.fc.in_features, num_classes)
nn.init.xavier_uniform(model.fc.weight)
nn.init.constant(model.fc.bias, 0)
elif name == 'resnet152':
model = models.resnet152(True)
model.fc = nn.Linear(model.fc.in_features, num_classes)
nn.init.xavier_uniform(model.fc.weight)
nn.init.constant(model.fc.bias, 0)
elif name == 'densenet121':
model = models.densenet121(True)
model.classifier = nn.Linear(model.classifier.in_features, num_classes)
nn.init.xavier_uniform(model.classifier.weight)
nn.init.constant(model.classifier.bias, 0)
elif name == 'vgg11_bn':
model = models.vgg11_bn(False, num_classes)
elif name == 'vgg19_bn':
model = models.vgg19_bn(True)
model.classifier._modules['6'] = nn.Linear(model.classifier._modules['6'].in_features, num_classes)
nn.init.xavier_uniform(model.classifier._modules['6'].weight)
nn.init.constant(model.classifier._modules['6'].bias, 0)
elif name == 'alexnet':
model = models.alexnet(True)
model.classifier._modules['6'] = nn.Linear(model.classifier._modules['6'].in_features, num_classes)
nn.init.xavier_uniform(model.classifier._modules['6'].weight)
nn.init.constant(model.classifier._modules['6'].bias, 0)
else:
model = Net(num_classes)
return model