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Machine Learning with TensorFlow 1.x

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

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781786462961
Length 304 pages
Edition 1st Edition
Languages
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Authors (3):
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Saif Ahmed Saif Ahmed
Author Profile Icon Saif Ahmed
Saif Ahmed
Quan Hua Quan Hua
Author Profile Icon Quan Hua
Quan Hua
Shams Ul Azeem Shams Ul Azeem
Author Profile Icon Shams Ul Azeem
Shams Ul Azeem
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Toc

Table of Contents (13) Chapters Close

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

Installation

In this chapter, we will work on an Ubuntu 16.06 computer with a Nvidia Titan X GPU.

We suggest that you use Ubuntu 14.04 or 16.06 to avoid further issues.

The choice of GPU is beyond the scope of this chapter. However, you must choose a Nvidia device with a high memory capacity in order to take full advantage of the GPU when compared to a CPU. Currently, AMD GPUs are not officially supported by TensorFlow and most other deep learning frameworks. At the time of writing, Windows can use Tensorflow with GPU on Python 3.5 or Python 3.6. However, Tensorflow dropped the support for GPU on macOS from Tensorflow 1.2. If you are using Windows, we suggest that you follow the official tutorial for Windows at the following link: https://www.tensorflow.org/install/install_windows.

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