squeezenet1_0¶
- paddle.vision.models. squeezenet1_0 ( pretrained=False, **kwargs ) [源代码] ¶
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squeezenet1_0模型,来自论文 "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size" 。
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)