Machine Learning with TensorFlow 1.x

Tackle common commercial machine learning problems with Google’s TensorFlow 1.x library and build deployable solutions.

Machine Learning with TensorFlow 1.x

Quan Hua, Shams Ul Azeem, Saif Ahmed

Tackle common commercial machine learning problems with Google’s TensorFlow 1.x library and build deployable solutions.
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Book Details

ISBN 139781786462961
Paperback304 pages

Book Description

Google's TensorFlow is a game changer in the world of machine learning. It has made machine learning faster, simpler, and more accessible than ever before. This book will teach you how to easily get started with machine learning using the power of Python and TensorFlow 1.x.

Firstly, you’ll cover the basic installation procedure and explore the capabilities of TensorFlow 1.x. This is followed by training and running the first classifier, and coverage of the unique features of the library including data flow graphs, training, and the visualization of performance with TensorBoard—all within an example-rich context using problems from multiple industries. You’ll be able to further explore text and image analysis, and be introduced to CNN models and their setup in TensorFlow 1.x. Next, you’ll implement a complete real-life production system from training to serving a deep learning model. As you advance you’ll learn about Amazon Web Services (AWS) and create a deep neural network to solve a video action recognition problem. Lastly, you’ll convert the Caffe model to TensorFlow and be introduced to the high-level TensorFlow library, TensorFlow-Slim.

By the end of this book, you will be geared up to take on any challenges of implementing TensorFlow 1.x in your machine learning environment.

Table of Contents

Chapter 1: Getting Started with TensorFlow
Chapter 5: Sequence to Sequence Models-Parlez-vous Français?

What You Will Learn

  • Explore how to use different machine learning models to ask different questions of your data
  • Learn how to build deep neural networks using TensorFlow 1.x
  • Cover key tasks such as clustering, sentiment analysis, and regression analysis using TensorFlow 1.x
  • Find out how to write clean and elegant Python code that will optimize the strength of your algorithms
  • Discover how to embed your machine learning model in a web application for increased accessibility
  • Learn how to use multiple GPUs for faster training using AWS

Authors

Table of Contents

Chapter 1: Getting Started with TensorFlow
Chapter 5: Sequence to Sequence Models-Parlez-vous Français?

Book Details

ISBN 139781786462961
Paperback304 pages
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