resnext152_32x4d¶

paddle.vision.models. resnext152_32x4d ( pretrained=False, **kwargs ) [源代码] ¶

ResNeXt-152 32x4d 模型，来自论文 "Aggregated Residual Transformations for Deep Neural Networks" 。

参数¶

pretrained (bool，可选) - 是否加载预训练权重。如果为 True，则返回在 ImageNet 上预训练的模型。默认值：False。

返回¶

ResNeXt-152 32x4d 模型，Layer 的实例。

代码示例¶

          import paddle
from paddle.vision.models import resnext152_32x4d

# build model
model = resnext152_32x4d()

# build model and load imagenet pretrained weight
# model = resnext152_32x4d(pretrained=True)

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

print(out.shape)
# [1, 1000]

         