MobileNetV2¶
- class paddle.vision.models. MobileNetV2 ( scale=1.0, num_classes=1000, with_pool=True ) [source]
-
MobileNetV2 model from “MobileNetV2: Inverted Residuals and Linear Bottlenecks”.
- Parameters
-
scale (float) – scale of channels in each layer. Default: 1.0.
num_classes (int) – output dim of last fc layer. If num_classes <=0, last fc layer will not be defined. Default: 1000.
with_pool (bool) – use pool before the last fc layer or not. Default: True.
Examples
import paddle from paddle.vision.models import MobileNetV2 model = MobileNetV2() x = paddle.rand([1, 3, 224, 224]) out = model(x) print(out.shape)
-
forward
(
x
)
forward¶
-
Defines the computation performed at every call. Should be overridden by all subclasses.
- Parameters
-
*inputs (tuple) – unpacked tuple arguments
**kwargs (dict) – unpacked dict arguments