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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

Describing Images in Natural Language

If image classification and object detection are intelligent tasks, describing an image in natural language is definitely a more challenging task that requires more intelligence – just think for a moment about how everyone grows from a newborn (who learns to recognize objects and detect their locations) to a three-year old (who learns to tell a story about a picture). The official term for the task of describing an image in natural language is image captioning. Unlike speech recognition, which has a long history of research and development, image captioning (with full natural language, not just keyword output) has only had a short but exciting history of research due to its complexityand the deep learning breakthrough in 2012.

In this chapter, we'll first review how a deep learning-based image captioning model that won the 2015...

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