mobilenet_v3_large

paddle.vision.models. mobilenet_v3_large ( pretrained=False, scale=1.0, **kwargs ) [源代码]

MobileNetV3 Large 架构模型,来自论文 "Searching for MobileNetV3"

参数

  • pretrained (bool,可选) - 是否加载预训练权重。如果为 True,则返回在 ImageNet 上预训练的模型。默认值为 False。

  • scale (float,可选) - 模型通道数的缩放比例。默认值为 1.0。

  • **kwargs (可选) - 附加的关键字参数,具体可选参数请参见 MobileNetV3Large

返回

Layer,MobileNetV3 Large 架构模型实例。

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)
[1, 1000]