code: def vgg11_bn(**kwargs):
      r"""VGG-11 model with batch normalization from the
      `"Very Deep Convolutional Networks for Large-Scale Image Recognition"
      <https://arxiv.org/abs/1409.1556>`_ paper.
  
      Parameters
      ----------
      pretrained : bool or str
          Boolean value controls whether to load the default pretrained weights for model.
          String value represents the hashtag for a certain version of pretrained weights.
      ctx : Context, default CPU
          The context in which to load the pretrained weights.
      root : str, default '$MXNET_HOME/models'
          Location for keeping the model parameters.
      """
      kwargs["batch_norm"] = True
      return get_vgg(11, **kwargs)
  
file_path: gluon-cv/gluoncv/model_zoo/vgg.py
imports: from __future__ import division
  from mxnet.context import cpu
  from mxnet.initializer import Xavier
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
label_desc: Use image node_id 6 for calling a global function with example usage: vgg11_bn() and returns: get_vgg