In this chapter, we will discuss Keras, which is a high-level API for TensorFlow 2. Keras was developed by François Chollet at Google. Keras has become extremely popular for fast prototyping, for building and training deep learning models, and for research and production. Keras is a very rich API; it supports eager execution and data pipelines, and other features, as we will see.
Keras has been available for TensorFlow since 2017, but its use has been extended and further integrated into TensorFlow with the release of TensorFlow 2.0. TensorFlow 2.0 has embraced Keras as the API of choice for the majority of deep learning development work.
It is possible to import Keras as a standalone module, but in this book, we will concentrate on using Keras from within TensorFlow 2. The module is, thus, tensorflow.keras.
In this chapter, we will...
