class_docstr: Class that contains the common layers for language modeling -
          word embeddings and projection layer
docstr: Initialize class
docstr_tok: ["Initialize","class"]
code: def __init__(self):
      """
      Initialize class
      """
      self.word_embeddings_tf = None
      self.num_words = None
      self.n_features_in = None
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.keras.layers import Wrapper
  from tensorflow.python.layers.convolutional import Conv1D
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.keras.engine.base_layer import Layer
  from tensorflow.python.eager import context
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.keras import initializers
  from tensorflow.python.keras.engine.base_layer import InputSpec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.framework import ops
label_desc: Use image node_id 1 to create a new CommonLayers object  with example: obj = CommonLayers()