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In TensorFlow 1.3, a new feature called TensorFlow Estimators has been added. TensorFlow Estimators make the task of creating the neural network models even easier, it is a higher level API that encapsulates the process of training, evaluation, prediction and serving.  It provides the option of either using pre-made Estimators or one can write their own custom Estimators. With pre-made Estimators, one no longer have to worry about building the computational or creating a session, it handles it all.

At present TensorFlow Estimator has six pre-made Estimators. Another advantage of using TensorFlow pre-made Estimators is that it also by itself creates summaries that can be visualised on TensorBoard. More details about Estimators are available at https://www.tensorflow.org/programmers_guide/estimators.