resnext101_32x4d

paddle.vision.models. resnext101_32x4d ( pretrained=False, **kwargs ) [源代码]

ResNeXt-101 32x4d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

resnext101_32x4d模型,Layer的实例。

代码示例

import paddle
from paddle.vision.models import resnext101_32x4d

# build model
model = resnext101_32x4d()

# build model and load imagenet pretrained weight
# model = resnext101_32x4d(pretrained=True)

x = paddle.rand([1, 3, 224, 224])
out = model(x)

print(out.shape)