Introduction to TensorFlow Datasets and Estimators

Datasets and Estimators are two key TensorFlow features you should use:

  • Datasets: The best practice way of creating input pipelines (that is, reading data into your program).
  • Estimators: A high-level way to create TensorFlow models. Estimators include pre-made models for common machine learning tasks, but you can also use them to create your own custom models.

https://developers.googleblog.com/2017/09/introducing-tensorflow-datasets.html

https://developers.googleblog.com/2017/11/introducing-tensorflow-feature-columns.html

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