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 paddle.vision / models / resnet50


resnet50

paddle.vision. resnet50 ( pretrained=False, **kwargs ) [源代码]

50层的resnet模型,来自论文 "Deep Residual Learning for Image Recognition"

参数

  • pretrained (bool,可选) - 是否加载在imagenet数据集上的预训练权重。默认值:False。

返回

resnet50模型,Layer的实例。

代码示例

import paddle
from paddle.vision.models import resnet50

# build model
model = resnet50()

# build model and load imagenet pretrained weight
# model = resnet50(pretrained=True)

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

print(out.shape)

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