wide_resnet50_2¶
- paddle.vision.models. wide_resnet50_2 ( pretrained=False, **kwargs ) [源代码] ¶
-
50层的wide_resnet模型,来自论文 "Wide Residual Networks" 。
参数¶
pretrained (bool,可选) - 是否加载在imagenet数据集上的预训练权重。默认值:False。
返回¶
wide_resnet50_2模型,Layer的实例。
代码示例¶
import paddle
from paddle.vision.models import wide_resnet50_2
# build model
model = wide_resnet50_2()
# build model and load imagenet pretrained weight
# model = wide_resnet50_2(pretrained=True)
x = paddle.rand([1, 3, 224, 224])
out = model(x)
print(out.shape)