parameters: (**kwargs)
return_statement: return get_densenet(201, **kwargs)
docstring: r"""Densenet-BC 201-layer model from the
      `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`_ paper.
  
      Parameters
      ----------
      pretrained : bool, default False
          Whether to load the pretrained weights for model.
      device : Device, default CPU
          The device in which to load the pretrained weights.
      root : str, default '$MXNET_HOME/models'
          Location for keeping the model parameters.
docstring_summary: r"""Densenet-BC 201-layer model from the
      `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`_ paper.
docstring_tokens: r Densenet - BC 201 - layer model from the Densely Connected Convolutional Networks <https : // arxiv . org / pdf / 1608 . 06993 . pdf > _ paper .
function: def densenet201(**kwargs):
      r"""Densenet-BC 201-layer model from the
      `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`_ paper.
  
      Parameters
      ----------
      pretrained : bool, default False
          Whether to load the pretrained weights for model.
      device : Device, default CPU
          The device in which to load the pretrained weights.
      root : str, default '$MXNET_HOME/models'
          Location for keeping the model parameters.
      """
      return get_densenet(201, **kwargs)
function_tokens: def densenet201 ( * * kwargs ) : return get_densenet ( 201 , * * kwargs )