Chapter 4: Reusable Models and Scalable Data Pipelines

In this chapter, you will learn different ways of using scalable data ingestion pipelines with pre-made model elements in TensorFlow Enterprise's high-level API's. These options provide the flexibility to suit different requirements or styles for building, training, and deploying models. Armed with this knowledge, you will be able to make informed choices and understand trade-offs among different model development approaches. The three major approaches are TensorFlow Hub, the TensorFlow Estimators API, and the TensorFlow Keras API.

TensorFlow Hub is a library of open source machine learning models. TensorFlow Estimators and tf.keras APIs are wrappers that can be regarded as high-level elements that can be configured and reused as building blocks in a model. In terms of the amount of coding required, TensorFlow Hub models require the least amount of extra coding, while Estimator and Keras APIs are building blocks at...