class_docstr: This abstract RepresentationGraph allows you to use Keras layers as a representation function by overriding the
  create_layers() method.
docstr: Returns a list of Keras layers.
  :param n_features: int
  The input size of the first Keras layer.
  :param n_components: int
  The output size of the final Keras layer.
  :return: list
  A list of Keras layers.
docstr_tok: ["Returns","a","list","of","Keras","layers",".",":","param","n_features",":","int","The","input","size","of","the","first","Keras","layer",".",":","param","n_components",":","int","The","output","size","of","the","final","Keras","layer",".",":","return",":","list","A","list","of","Keras","layers","."]
code: def create_layers(self, n_features, n_components):
      """
      Returns a list of Keras layers.
      :param n_features: int
      The input size of the first Keras layer.
      :param n_components: int
      The output size of the final Keras layer.
      :return: list
      A list of Keras layers.
      """
      pass
  
imports: import abc
  import tensorflow
label_desc: Use image node_id 2 for calling the AbstractKerasRepresentationGraph obj's underlying member method code with example usage: obj.create_layers(n_features, n_components) without return types