class_docstr: Encoder Decoder Deep LSTM Tagger Model (using tf.keras)
class_docstr_tok: ["Encoder","Decoder","Deep","LSTM","Tagger","Model","(","using","tf.keras",")"]
code: def __init__(self):
      super().__init__()
      self.model = None
      self.vocab_size = None
      self.tag_labels = None
      self.token_emb_size = None
      self.encoder_depth = None
      self.decoder_depth = None
      self.lstm_hidden_size = None
      self.encoder_dropout = None
      self.decoder_dropout = None
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import tensorflow
  from nlp_architect.nn.tensorflow.python.keras.layers.crf import CRF
  from nlp_architect.nn.tensorflow.python.keras.utils import load_model, save_model
label_desc: Use image node_id 1 to create a new Seq2SeqIntentModel object from inherited base classes: IntentExtractionModel with example: obj = Seq2SeqIntentModel()