MobileNetV1

class paddle.vision.models. MobileNetV1 ( scale=1.0, num_classes=1000, with_pool=True ) [source]

MobileNetV1 model from “MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications”.

Parameters

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

  • num_classes (int, optional) – Output dim of last fc layer. If num_classes <= 0, last fc layer will not be defined. Default: 1000.

  • with_pool (bool, optional) – Use pool before the last fc layer or not. Default: True.

Returns

Layer. An instance of MobileNetV1 model.

Examples

import paddle
from paddle.vision.models import MobileNetV1

model = MobileNetV1()

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

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