code: def create_test_model():
      # this selects additional nodes and alternative paths
      with default_options(
          enable_self_stabilization=True, use_peepholes=True
      ):
          return Sequential(
              [
                  Embedding(emb_dim),
                  BatchNormalization(),
                  Recurrence(
                      LSTM(hidden_dim, cell_shape=hidden_dim + 50),
                      go_backwards=True,
                  ),
                  BatchNormalization(map_rank=1),
                  Dense(num_labels),
              ]
          )
  
file_path: CNTK/Tests/EndToEndTests/CNTKv2Python/Examples/language_understanding_test.py
imports: from __future__ import print_function
  import os, sys
  import numpy
  import shutil
  from cntk import DeviceDescriptor
  from cntk import placeholder
  from cntk.layers import *
  from cntk.internal.utils import *
  from cntk.logging import *
  from cntk.ops import splice
  from LanguageUnderstanding import data_dir, create_reader, create_model_function, train, evaluate, emb_dim, hidden_dim, num_labels
label_desc: Use image node_id 2 for calling a global function with example usage: create_test_model() and returns: Sequential