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.