- paddle.vision.models. resnet18 ( pretrained=False, **kwargs ) [source]
ResNet 18-layer model from “Deep Residual Learning for Image Recognition”.
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.
Layer. An instance of ResNet 18-layer model.
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]