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You're reading from Machine Learning with TensorFlow 1.x Second generation machine learning with Google's brainchild - TensorFlow 1.x

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781786462961

Length 304 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Machine Learning

Authors (3):

Saif Ahmed

Quan Hua

Shams Ul Azeem

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Table of Contents (13) Chapters

Preface

1. Getting Started with TensorFlow

2. Your First Classifier FREE CHAPTER

3. The TensorFlow Toolbox

4. Cats and Dogs

5. Sequence to Sequence Models-Parlez-vous Français?

6. Finding Meaning

7. Making Money with Machine Learning

8. The Doctor Will See You Now

9. Cruise Control - Automation

10. Go Live and Go Big

11. Going Further - 21 Problems

12. Advanced Installation

Summary

In this chapter, we discussed the advantages of using GPUs in a machine learning workflow, especially in deep learning. Then, we showed the step-by-step installation of a Nvidia driver, the CUDA Toolkit, cuDNN, and TensorFlow with GPU support. We also introduced our recommended workflow for using multiple versions of TensorFlow and other libraries.

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Authors (3)

Hua

Quan Hua is a Computer Vision and Machine Learning Engineer at BodiData, a data platform for body measurements, where he focuses on developing computer vision and machine learning applications for a handheld technology capable of acquiring a body avatar while a person is fully clothed. He earned a bachelor of science degree from the University of Science, Vietnam, specializing in Computer Vision. He has been working in the field of computer vision and machine learning for about 3 years at start-ups. Quan has been writing for Packt since 2015 for a Computer Vision book, OpenCV 3 Blueprints.

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Ahmed

Asad Jibran Ahmed is an experienced programmer who has worked mostly with Django-based web applications for the past 5 years. Based in Dubai, UAE, he has worked with some of the biggest web properties in the region, including Dubizzle, the number one classifieds platform in UAE; Nabbesh, one of the top freelancing platforms in the MENA region; and Just Property, a hot and rising name in the property portal space of the region. His experience with such big names has given him a keen insight into how to design performant, stable, and user friendly web applications, all the while using programming practices that make sure that the code base is maintainable for years.

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Ul Azeem

Shams Ul Azeem is an undergraduate in electrical engineering from NUST Islamabad, Pakistan. He has a great interest in the computer science field, and he started his journey with Android development. Now, hes pursuing his career in Machine Learning, particularly in deep learning, by doing medical-related freelancing projects with different companies. He was also a member of the RISE lab, NUST, and he has a publication credit at the IEEE International Conference, ROBIO as a co-author of Designing of motions for humanoid goalkeeper robots.

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