message: Fix some minor typos in get started docs to keep consistent
diff: @@ -154,7 +154,7 @@ classifier = tf.estimator.DNNClassifier(
  The first time you call an Estimator's `train` method, TensorFlow saves a
  checkpoint to the `model_dir`. Each subsequent call to the Estimator's
  -`train`, `eval`, or `predict` method causes the following:
  +`train`, `evaluate`, or `predict` method causes the following:
  1. The Estimator builds the model's
  [graph](https://developers.google.com/machine-learning/glossary/#graph)
  @@ -222,7 +222,7 @@ does not match the shape stored in checkpoint: [20]
  To run experiments in which you train and compare slightly different
  versions of a model, save a copy of the code that created each
  -`model-dir`, possibly by creating a separate git branch for each version.
  +`model_dir`, possibly by creating a separate git branch for each version.
  This separation will keep your checkpoints recoverable.
  ## Summary
  