mobilenet_v3_large¶
- paddle.vision.models. mobilenet_v3_large ( pretrained=False, scale=1.0, **kwargs ) [源代码] ¶
-
MobileNetV3Large模型,来自论文 "Searching for MobileNetV3" 。
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。
scale (float,可选) - 模型通道数的缩放比例。默认值:1.0。
返回¶
mobilenetv3 large模型,Layer的实例。
代码示例¶
import paddle
from paddle.vision.models import mobilenet_v3_large
# build model
model = mobilenet_v3_large()
# build model and load imagenet pretrained weight
# model = mobilenet_v3_large(pretrained=True)
# build mobilenet v3 large model with scale=0.5
model = mobilenet_v3_large(scale=0.5)
x = paddle.rand([1, 3, 224, 224])
out = model(x)
print(out.shape)