parameters: (**kwargs)
return_statement: return get_mobilenet(0.75, **kwargs)
docstring: r"""MobileNet model from the
      `"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
      <https://arxiv.org/abs/1704.04861>`_ paper, with width multiplier 0.75.
  
      Parameters
      ----------
      pretrained : bool, default False
          Whether to load the pretrained weights for model.
      ctx : Context, default CPU
          The context in which to load the pretrained weights.
docstring_summary: r"""MobileNet model from the
      `"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
      <https://arxiv.org/abs/1704.04861>`_ paper, with width multiplier 0.75.
docstring_tokens: r MobileNet model from the MobileNets : Efficient Convolutional Neural Networks for Mobile Vision Applications <https : // arxiv . org / abs / 1704 . 04861 > _ paper with width multiplier 0 . 75 .
function: def mobilenet0_75(**kwargs):
      r"""MobileNet model from the
      `"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
      <https://arxiv.org/abs/1704.04861>`_ paper, with width multiplier 0.75.
  
      Parameters
      ----------
      pretrained : bool, default False
          Whether to load the pretrained weights for model.
      ctx : Context, default CPU
          The context in which to load the pretrained weights.
      """
      return get_mobilenet(0.75, **kwargs)
function_tokens: def mobilenet0_75 ( * * kwargs ) : return get_mobilenet ( 0.75 , * * kwargs )