densenet201¶
- paddle.vision.models. densenet201 ( pretrained=False, **kwargs ) [源代码] ¶
-
201层的densenet模型,来自论文 "Densely Connected Convolutional 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¶
densenet201模型,Layer的实例。
代码示例¶
import paddle
from paddle.vision.models import densenet201
# build model
model = densenet201()
# build model and load imagenet pretrained weight
# model = densenet201(pretrained=True)
x = paddle.rand([1, 3, 224, 224])
out = model(x)
print(out.shape)