You should know about standard data formats such as CSV files, images (PNG and JPG), and ASCII text formats. Needless to say, most of the chapters in this book assume that you know about basic machine learning concepts, Python programming, the numpy Python module, and that you have used TensorFlow to create some machine learning models. Though it's not required, having familiarity with tf.data APIs from TensorFlow 1.x (TF 1.x) versions will be helpful. Even if you don't have prior knowledge of tf.data APIs, you should find this chapter self-sufficient to learn about them.
Some of the topics in this chapter require Python modules such as argparse and tqdm, which are listed on this book's GitHub repository. The code for this chapter is available at https://github.com/PacktPublishing/What-s-New-in-TensorFlow-2.0/tree/master...
