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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

Overview of the application

Human action recognition is a very interesting problem in computer vision and machine learning. There are two popular approaches to this problem,that is,still image action recognition and video action recognition. In still image action recognition, we can fine-tune a pre-trained model from ImageNet and perform a classification of the actions based on the static image. You can review the previous chapters for more information. In this chapter, we will create a model that can recognize human action from videos. At the end of the chapter, we will show you how to use multiple GPUs to speed up the training process.

Datasets

There are many available datasets that we can use in the training process, as...

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