vgg16¶

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

VGG 16-layer model from “Very Deep Convolutional Networks For Large-Scale Image Recognition”.

Parameters

• pretrained (bool, optional) – Whether to load pre-trained weights. If True, returns a model pre-trained on ImageNet. Default: False.

• batch_norm (bool, optional) – If True, returns a model with batch_norm layer. Default: False.

• **kwargs (optional) – Additional keyword arguments. For details, please refer to VGG.

Returns

Layer. An instance of VGG 16-layer model.

Examples

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)
# [1, 1000]