title: Example of tf.feature_column.indicator_column
body: <p>I’m reading tensorflow’s document about <a href="https://www.tensorflow.org/api_docs/python/tf/feature_column/indicator_column" rel="nofollow noreferrer">tf.feature_column.indicator_column</a>.</p>
  
  <p>In this document, there is an example.</p>
  
  <pre><code>name = indicator_column(categorical_column_with_vocabulary_list(
         'name', ['bob', 'george', 'wanda'])
  columns = [name, ...]
  features = tf.parse_example(..., features=make_parse_example_spec(columns))
  dense_tensor = input_layer(features, columns)
  
  dense_tensor == [[1, 0, 0]]  # If "name" bytes_list is ["bob"]
  dense_tensor == [[1, 0, 1]]  # If "name" bytes_list is ["bob", "wanda"]
  dense_tensor == [[2, 0, 0]]  # If "name" bytes_list is ["bob", "bob”]
  </code></pre>
  
  <p>My problem is the omitted(<code>...</code>) part of this code. I just want a complete, running, simple example. And I can’t find a kind example including tf.Example and so on.</p>
  
  <p>Can anyone make this complete?</p>
  
  <p>Thank you for advance.</p>