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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

Product type Paperback

Published in May 2018

Publisher Packt

ISBN-13 9781788834544

Length 404 pages

Edition 1st Edition

Languages

Python

Tools

Android

Concepts

Artificial Intelligence

Author (1):

Tang

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Table of Contents (21) Chapters

Title Page

Dedication

Packt Upsell

Foreword

Contributors

Preface

1. Getting Started with Mobile TensorFlow

2. Classifying Images with Transfer Learning FREE CHAPTER

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

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Index

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 simplycd to your TensorFlow source root directory then run:

 git clone https://github.com/tensorflow/models

One Python library you probably haven't installed is the Natural Language ToolKit (NLTK) , one of the most popular Python libraries for natural language processing. Just go to its website at http://www.nltk.org for...