mobilenet_v2¶

paddle.vision.models. mobilenet_v2 ( pretrained=False, scale=1.0, **kwargs ) [source]

MobileNetV2 from “MobileNetV2: Inverted Residuals and Linear Bottlenecks”.

Parameters

• pretrained (bool, optional) – Whether to load pre-trained weights. If True, returns a model pre-trained on ImageNet. Default: False.

• scale (float, optional) – Scale of channels in each layer. Default: 1.0.

• **kwargs (optional) – Additional keyword arguments. For details, please refer to MobileNetV2.

Returns

Layer. An instance of MobileNetV2 model.

Examples

>>> import paddle
>>> from paddle.vision.models import mobilenet_v2

>>> # Build model
>>> model = mobilenet_v2()

>>> # Build model and load imagenet pretrained weight
>>> # model = mobilenet_v2(pretrained=True)

>>> # Build mobilenet v2 with scale=0.5
>>> model = mobilenet_v2(scale=0.5)

>>> x = paddle.rand([1, 3, 224, 224])
>>> out = model(x)

>>> print(out.shape)
[1, 1000]