TensorFlow For Machine Intelligence A hands on introduction to learning algorithms 1st edition by Sam Abrahams, Danijar Hafner, Erik Erwitt, Ariel Scarpinelli ISBN 1939902452 978-1939902450

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ISBN 10:  1939902452
ISBN 13: 978-1939902450
Author: Sam Abrahams, Danijar Hafner, Erik Erwitt, Ariel Scarpinelli

TensorFlow, a popular library for machine learning, embraces the innovation and community-engagement of open source, but has the support, guidance, and stability of a large corporation. Because of its multitude of strengths, TensorFlow is appropriate for individuals and businesses ranging from startups to companies as large as, well, Google. TensorFlow is currently being used for natural language processing, artificial intelligence, computer vision, and predictive analytics. TensorFlow, open sourced to the public by Google in November 2015, was made to be flexible, efficient, extensible, and portable. Computers of any shape and size can run it, from smartphones all the way up to huge computing clusters. This book is for anyone who knows a little machine learning (or not) and who has heard about TensorFlow, but found the documentation too daunting to approach. It introduces the TensorFlow framework and the underlying machine learning concepts that are important to harness machine intelligence. After reading this book, you should have a deep understanding of the core TensorFlow API.

TensorFlow For Machine Intelligence A hands on introduction to learning algorithms 1st Table of contents:

Chapter1 : Introduction

Chapter 2: Content

Chapter 3: Conclusion 

Chapter 4: Appendices

Chapter 5: Glossary

Chapter 6: References 

Chapter 7: Index

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Sam Abrahams,Danijar Hafner,Erik Erwitt,Ariel Scarpinelli,Machine Intelligence,learning algorithms