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* For further reference materials on tf.contrib.learn, see the official
[API docs](../../api_docs/python/contrib.learn.md).
-<!-- David, will the below be live when this tutorial is released? -->
* To learn more about using tf.contrib.learn to create linear models, see
[Large-scale Linear Models with TensorFlow](../linear/).
+* To build your own Estimator using tf.contrib.learn APIs, check out [Building Machine Learning Estimator in TensorFlow](http://terrytangyuan.github.io/2016/07/08/understand-and-build-tensorflow-estimator/).
+
* To experiment with neural network modeling and visualization in the browser,
check out [Deep Playground](http://playground.tensorflow.org/).