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