vgg16

paddle.vision.models. vgg16 ( pretrained=False, batch_norm=False, **kwargs ) [源代码]

vgg16模型，来自论文 “Very Deep Convolutional Networks For Large-Scale Image Recognition” 。

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。

• batch_norm (bool, 可选) - 是否在每个卷积层后添加批归一化层。默认值：False。

返回

vgg16模型，Layer的实例。

代码示例

import paddle
from paddle.vision.models import vgg16
# build model
model = vgg16()
# build vgg16 model with batch_norm
model = vgg16(batch_norm=True)
x = paddle.rand([1, 3, 224, 224])
out = model(x)
print(out.shape)