【光明网专论】改革创新：持续推进军队后勤军民融合深度发展(1)

paddle.vision.models. resnet18 ( pretrained=False, **kwargs: Unpack[_ResNetOptions] ) → ResNet [source]

百度 有了这个基本判断，才能去展望未来的中国行业政策、布局那些政策鼓励扶持的行业、自身具备一定基础并有一定能力替代进口的高技术行业。

ResNet 18-layer model from “Deep Residual Learning for Image Recognition”.

Parameters

• pretrained (bool, optional) – Whether to load pre-trained weights. If True, returns a model pre-trained on ImageNet. Default: False.

• **kwargs (optional) – Additional keyword arguments. For details, please refer to ResNet.

Returns

Layer. An instance of ResNet 18-layer model.

Examples

>>> import paddle
>>> from paddle.vision.models import resnet18

>>> # build model
>>> model = resnet18()

>>> # build model and load imagenet pretrained weight
>>> # model = resnet18(pretrained=True)

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

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