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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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Table of Contents (13) Chapters Close

Preface 1. Getting Started with TensorFlow FREE CHAPTER 2. Your First Classifier 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

Interesting Projects

In this section, we will show you some interesting projects that are implemented in other deep learning frameworks. These projects give significant results over very difficult problems. You may want to challenge yourself to implement these methods in TensorFlow.

Problem 17 - Interactive Deep Colorization - iDeepColor

Project link: https://richzhang.github.io/ideepcolor/

Interactive Deep Colorization is research being carried out by Richard Zhang and Jun-Yan Zun, and others, for user-guided image colorization. In this system, users can give the network a few hints of colors for some points in the image and the network will propagate user inputs along with semantic information learned from large scale data...

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