Getting Started with TensorFlow

Key Features Get the first book on the market that shows you the key aspects

TensorFlow, how it works, and how to use it for the second generation of

machine learning Want to perform faster and more accurate computations in the

field of data science? This book will acquaint you with an all-new refreshing

library—TensorFlow! Dive into the next generation of numerical computing and

get the most out of your data with this quick guide Book Description

Google's TensorFlow engine, after much fanfare, has evolved in to a robust,

user-friendly, and customizable, application-grade software library of machine

learning (ML) code for numerical computation and neural networks.

This book takes you through the practical software implementation of various

machine learning techniques with TensorFlow. In the first few chapters, you'll

gain familiarity with the framework and perform the mathematical operations

required for data analysis. As you progress further, you'll learn to implement

various machine learning techniques such as classification, clustering, neural

networks, and deep learning through practical examples.

By the end of this book, you'll have gained hands-on experience of using

TensorFlow and building classification, image recognition systems, language

processing, and information retrieving systems for your application.

What you will learn Install and adopt TensorFlow in your Python environment to

solve mathematical problems Get to know the basic machine and deep learning

concepts Train and test neural networks to fit your data model Make

predictions using regression algorithms Analyze your data with a clustering

procedure Develop algorithms for clustering and data classification Use GPU

computing to analyze big data About the Author

**Giancarlo Zaccone** has more than 10 years of experience managing research

projects in both the scientific and industrial domains. He worked as

researcher at the C.N.R, the National Research Council, where he was involved

in projects related to parallel numerical computing and scientific

visualization.

Currently, he is a senior software engineer at a consulting company developing

and maintaining software systems for space and defence applications.

Giancarlo holds a master's degree in physics from the Federico II of Naples

and a 2nd level postgraduate master course in scientific computing from La

Sapienza of Rome.

He has already been a Packt author for the following book: Python Parallel

Programming Cookbook.

You can contact him at

[https://it.linkedin.com/in/giancarloz...](https://it.linkedin.com/in/giancarlozaccone)

Table of Contents TensorFlow – Basic Concepts Doing Math with TensorFlow

Starting with Machine Learning Introducing Neural Networks Deep Learning GPU

Programming and Serving with TensorFlow