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Hands-On Deep Learning with TensorFlow

You're reading from   Hands-On Deep Learning with TensorFlow Uncover what is underneath your data!

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787282773
Length 174 pages
Edition 1st Edition
Languages
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Author (1):
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Dan Van Boxel Dan Van Boxel
Author Profile Icon Dan Van Boxel
Dan Van Boxel
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Preface

TensorFlow is an open source software library for machine learning and training neural networks. TensorFlow was originally developed by Google, and was made open source in 2015.

Over the course of this book, you will learn how to use TensorFlow to solve a novel research problem. You'll use one of the most popular machine learning approaches, neural networks with TensorFlow. We'll work on both the simple and deep neural networks to improve our models.

You'll study images of letters and digits in various fonts with the goal of identifying fonts based on one specific image of a single letter. This will be a straightforward classification problem.

As no single pixel or position—but local structures among pixels—is important, it's an ideal problem for deep learning with TensorFlow. Though we'll start with simple models, this series will gradually introduce more nuanced approaches and explain the code line by line. By the end of this book, you'll have created your own advanced model for font recognition.

So let's put on our helmets; we're going deep into data mines with TensorFlow.

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