squeezenet1_0_cn.rst

squeezenet1_0

.. py:function:: paddle.vision.models.squeezenet1_0(pretrained=False, **kwargs)

 squeezenet1_0模型，来自论文 `"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size" <https://arxiv.org/abs/1602.07360>`_ 。

参数

• pretrained (bool，可选) - 是否加载在imagenet数据集上的预训练权重。默认值：False。

返回

squeezenet1_0模型，Layer的实例。

代码示例

import paddle
from paddle.vision.models import squeezenet1_0

# build model
model = squeezenet1_0()

# build model and load imagenet pretrained weight
# model = squeezenet1_0(pretrained=True)

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

print(out.shape)