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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

Training and freezing an image captioning model

In this section, we'll first summarize the process of training the Show and Tell model called im2txt, documented at https://github.com/tensorflow/models/tree/master/research/im2txt, with some tips to help you better understand the process. Then we'll show some key changes to the Python code that comes with the im2txt model project, in order to freeze the model to be ready for use on mobile devices.

Training and testing caption generation

If you have followed the Setting up the TensorFlow Object Detection API section in Chapter 3, Detecting Objects and Their Locations, then you already have the im2txt folder installed; otherwise simply cd to your TensorFlow source root...

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