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