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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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 Hua Hua
Author Profile Icon Hua
Hua
 Ahmed Ahmed
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Ahmed
 Ul Azeem Ul Azeem
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Ul Azeem
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Toc

Table of Contents (19) Chapters Close

Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
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

TensorFlow-based Projects


In this section, we will introduce you to several problems that are implemented in TensorFlow and open-source on Github. We suggest that you take a look at these projects and learn how to improve your TensorFlow skills.

Problem 10 - Human Pose Estimation

Project Link: https://github.com/eldar/pose-tensorflow

This project is the open-source implementation of Deep Cut and ArtTrack in human body pose estimation. The goal of this project is to jointly solve the tasks of detection and pose estimation. We can use this method for various applications such as person detection in security or human action understanding. This project also provides great starting points for a lot of further research on human shape estimation with applications for virtual-try-on or garment recommendation.

Problem 11 - Object Detection - YOLO

Project link: https://github.com/thtrieu/darkflow

Object detection is an interesting problem in Computer Vision. There are lots of methods to solve this problem...

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