resnet50

paddle.vision.models.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)