resnet34_cn.rst

resnet34

.. py:function:: paddle.vision.models.resnet34(pretrained=False, **kwargs)

 34层的resnet模型，来自论文 `"Deep Residual Learning for Image Recognition" <https://arxiv.org/pdf/1512.03385.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。

返回

resnet34模型，Layer的实例。

代码示例

import paddle
from paddle.vision.models import resnet34

# build model
model = resnet34()

# build model and load imagenet pretrained weight
# model = resnet34(pretrained=True)

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

print(out.shape)