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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

Dataset and challenges

In this section, we will show you some popular datasets and competitions.

Problem 1 - ImageNet dataset

Project link: http://image-net.org/

ImageNet is a large scale visual recognition challenge that has runs annually since 2010. The dataset is organized according to the WorkNet hierarchy. There are over ten million URLs of images with hand-annotated labels to indicate what objects are in the picture. There are at least one million images that have bounding boxes included.

The ImageNet challenge is held every year to evaluate algorithms for the following three problems:

  • Object localization for 1,000 categories.
  • Object detection for 200 fully-labeled categories.
  • Object detection from video for 30 fully...
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