How to use Dataset in TensorFlow – Towards Data Science


As you should know, feed-dict is the slowest possible way to pass information to TensorFlow and it must be avoided. The correct way to feed data into your models is to use an input pipeline to ensure that the GPU has never to wait for new stuff to come in. Fortunately, TensorFlow has a built-in API, called Dataset to make it easier to accomplish this task. In this tutorial, we are going to see how we can create an input pipeline using it and how to feed the data into the model efficiently. This article will explain the basic mechanics of the Dataset, covering the most common use cases.

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