paddle.vision / models / resnet101

resnet101¶

paddle.vision. 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) - 是否加载在imagenet数据集上的预训练权重。默认值：False。

返回¶

resnet101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)

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paddle.vision / models / resnet101

resnet101¶

参数¶

返回¶

代码示例¶