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TensorFlow for Machine Intelligence

A hands-on introduction to learning algorithms

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.


TABLE OF CONTENTS

Part I. Getting Started with TensorFlow

CHAPTER 1: Introduction

CHAPTER 2: TensorFlow Installation

Part II. TensorFlow and Machine Learning Fundamentals

CHAPTER 3: TensorFlow Fundamentals

CHAPTER 4: Machine Learning Basics

Part III. Implementing Advanced Deep Models in TensorFlow

CHAPTER 5: Object Recognition and Classification

CHAPTER 6: Recurrent Neural Networks and Natural Language Processing

Part IV. Additional Tips, Techniques, and Features

CHAPTER 7: Deploying models in production

CHAPTER 8: Helper Functions, Code Structure, and Classes

CHAPTER 9: Conclusion


With this purchase you will receive three file formats for this book: epub, mobi, and PDF.


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