title: Error in creating training and test vectors in tensorflow
body: <p>I am trying to recreate the code to train iris dataset given in link-
  <a href="https://tf-docs.readthedocs.io/en/latest/tensorflow/g3doc/tutorials/tflearn/" rel="nofollow noreferrer">https://tf-docs.readthedocs.io/en/latest/tensorflow/g3doc/tutorials/tflearn/</a></p>
  
  <p>However I get a valueerror when I try to run the following part of the code:</p>
  
  <pre><code># Data sets
  IRIS_TRAINING = "iris_training.csv"
  IRIS_TEST = "iris_test.csv"
  
  # Load datasets.
  training_set = tf.contrib.learn.datasets.base.load_csv_with_header(
      filename=IRIS_TRAINING,
      target_dtype=np.int,
      features_dtype=np.float32)
  test_set = tf.contrib.learn.datasets.base.load_csv_with_header(
      filename=IRIS_TEST,
      target_dtype=np.int,
      features_dtype=np.float32)
  </code></pre>
  
  <p>Error is:
  ValueError: invalid literal for int() with base 10: 'Sepal length'</p>
  
  <p>Can someone help troubleshoot this?</p>