parameters: (pretrained=False, **kwargs)
return_statement: return _densenet('densenet161', 161, pretrained, **kwargs)
docstring: DenseNet 161-layer model
  
      Args:
          pretrained (bool): If True, returns a model pre-trained on ImageNet
  
      Examples:
          .. code-block:: python
  
              from paddle.vision.models import densenet161
  
              # build model
              model = densenet161()
  
              # build model and load imagenet pretrained weight
              # model = densenet161(pretrained=True)
docstring_summary: DenseNet 161-layer model
docstring_tokens: DenseNet 161 - layer model
function: def densenet161(pretrained=False, **kwargs):
      """DenseNet 161-layer model
  
      Args:
          pretrained (bool): If True, returns a model pre-trained on ImageNet
  
      Examples:
          .. code-block:: python
  
              from paddle.vision.models import densenet161
  
              # build model
              model = densenet161()
  
              # build model and load imagenet pretrained weight
              # model = densenet161(pretrained=True)
      """
      return _densenet('densenet161', 161, pretrained, **kwargs)
function_tokens: def densenet161 ( pretrained = False , * * kwargs ) : return _densenet ( 'densenet161' , 161 , pretrained , * * kwargs )