.. _cn_api_paddle_vision_models_vgg16:

vgg16
-------------------------------

.. py:function:: paddle.vision.models.vgg16(pretrained=False, batch_norm=False, **kwargs)

 vgg16模型，来自论文`"Very Deep Convolutional Networks For Large-Scale Image Recognition" <https://arxiv.org/pdf/1409.1556.pdf>`_。

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**：

.. code-block:: python

    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)
