Chapter 1, TensorFlow - An Introduction, discusses TensorFlow the Google's open source framework, and why it is useful for deep learning. We will discuss how to install TensorFlow on MAC, Windows and Ubuntu for both CPU and GPU. We will also discuss other python packages that we will use throughout the book. We will explain the two components of TensorFlow codes, the definition of graph and its execution. We will learn about using the TensorBoard to see the graph structure. We will understand the difference between TensorFlow constants, variables and placeholders. And we will also get a taste of TensorFlow estimators.
Chapter 2 , Regression, talks about regression and its applications. We will discuss the concepts involved ...
