Deep Learning With TensorFlow

Abstract

This chapter aims to acquaint the users with key parts of TensorFlow and some basic ideas about deep learning. In particular, users will figure out how to perform fundamental calculations in TensorFlow and implementation of deep learning using TensorFlow. This chapter intends to gives a straightforward manual for the complexities of Google's TensorFlow framework that is easy to understand. The basic steps for the installation and setup of TensorFlow will also be discussed. Starting with a simple “Hello World” example, a practical implementation of deep learning problem to identify the handwritten digits will be discussed using MNIST dataset. It is only possible to understand deep learning through substantial practical examples. For that reason, the authors have included practical implementation of deep learning problems that motivates the readers to plunge deeply into these examples and to get their hands grimy trying different things with their own ideas using TensorFlow because it is never adequate to perceive algorithms only theoretically.