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Intelligent Mobile Projects with TensorFlow

You're reading from   Intelligent Mobile Projects with TensorFlow Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788834544
Length 404 pages
Edition 1st Edition
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Author (1):
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Jeff Tang Jeff Tang
Author Profile Icon Jeff Tang
Jeff Tang
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Mobile TensorFlow FREE CHAPTER 2. Classifying Images with Transfer Learning 3. Detecting Objects and Their Locations 4. Transforming Pictures with Amazing Art Styles 5. Understanding Simple Speech Commands 6. Describing Images in Natural Language 7. Recognizing Drawing with CNN and LSTM 8. Predicting Stock Price with RNN 9. Generating and Enhancing Images with GAN 10. Building an AlphaZero-like Mobile Game App 11. Using TensorFlow Lite and Core ML on Mobile 12. Developing TensorFlow Apps on Raspberry Pi 13. Other Books You May Enjoy

Detecting Objects and Their Locations

Object detection goes one step further than the image classification discussed in the previous chapter. Image classification just returns a label of class for an image, while object detection returns a list of objects identified in an image, along with a bounding box for each identified object. Modern object detection algorithms use deep learning to build models that can be used to detect and localize all kinds of objects in a single image. In the past few years, faster and more accurate object detection algorithms came one after another, and in June 2017, Google released the TensorFlow Object Detection API that incorporates several leading object detection algorithms.

In this chapter, we’ll first give a quick overview of object detection: the process of creating an effective deep learning model for object detection and then using the...

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