googlenet¶
- paddle.vision.models. googlenet ( pretrained=False, **kwargs ) [source]
-
GoogLeNet (Inception v1) model architecture from “Going Deeper with Convolutions”
- Parameters
-
pretrained (bool) – If True, returns a model pre-trained on ImageNet
Examples
import paddle from paddle.vision.models import googlenet # build model model = googlenet() # build model and load imagenet pretrained weight # model = googlenet(pretrained=True) x = paddle.rand([1, 3, 224, 224]) out, out1, out2 = model(x) print(out.shape)