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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

Using object detection models in iOS

In the previous chapter, we showed you how to use the TensorFlow-experimental pod to quickly add TensorFlow to your iOS app. The TensorFlow-experimental pod works fine for models such as Inception and MobileNet or their retrained models. But if you use the TensorFlow-experimental pod, at least as of this writing (January 2018), with the SSD_MobileNet model, you’re likely to get the following error message when loading the ssd_mobilenet graph file:

Could not create TensorFlow Graph: Not found: Op type not registered 'NonMaxSuppressionV2'

Unless the TensorFlow-experimental pod gets updated to include op not registered here, the only way to fix these problems is to create the custom TensorFlow iOS library by building it from the TensorFlow source, and that's why we showed you in Chapter 1, Getting Started with Mobile TensorFlow...

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