code: def lstm_sequence_classifier(
      features, num_classes, embedding_dim, LSTM_dim
  ):
      classifier = C.layers.Sequential(
          [
              C.layers.Embedding(embedding_dim),
              C.layers.Recurrence(C.layers.LSTM(LSTM_dim)),
              C.sequence.last,
              C.layers.Dense(num_classes),
          ]
      )
      return classifier(features)
  
imports: import os
  import cntk
  import copy
label_desc: Use image node_id 2 for calling a global function with example usage: lstm_sequence_classifier(features, num_classes, embedding_dim, LSTM_dim) and returns: classifier