resnext152_64x4d¶
- paddle.vision.models. resnext152_64x4d ( pretrained=False, **kwargs ) [源代码] ¶
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ResNeXt-152 64x4d模型,来自论文 "Aggregated Residual Transformations for Deep Neural 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¶
resnext152_64x4d模型,Layer的实例。
代码示例¶
import paddle
from paddle.vision.models import resnext152_64x4d
# build model
model = resnext152_64x4d()
# build model and load imagenet pretrained weight
# model = resnext152_64x4d(pretrained=True)
x = paddle.rand([1, 3, 224, 224])
out = model(x)
print(out.shape)