TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service

© David Paper 2021

D. PaperTensorFlow 2.x in the Colaboratory Cloudhttps://doi.org/10.1007/978-1-4842-6649-6_3

3. Working with TensorFlow Data

David Paper¹  

(1)

Logan, UT, USA

 

We introduce TensorFlow datasets (TFDS). We discuss many facets of a TFDS with code examples. We continue with a complete TFDS modeling example.

Notebooks for chapters are located at the following URL: https://github.com/paperd/tensorflow.

TFDS is a collection of datasets ready to use with TensorFlow. Like all TensorFlow consumable datasets, TFDS are exposed as tf.data.Datasets, which allows us to create easy-to-use, high-performance input pipelines.

Enable the GPU (if not already enabled):

1. 1.

   Click Runtime in the top-left menu.

    
2. 2.

   Click Change runtime type from the drop-down menu. ...