resnet101

paddle.vision.models. resnet101 ( pretrained=False, **kwargs ) [源代码]

101 层的 ResNet 模型,来自论文 "Deep Residual Learning for Image Recognition"

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

101 层的 ResNet 模型,Layer 的实例。

代码示例

import paddle
from paddle.vision.models import resnet101

# build model
model = resnet101()

# build model and load imagenet pretrained weight
# model = resnet101(pretrained=True)

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

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