Intelligent Mobile Projects with TensorFlow

More Information
Learn
  • Classify images with transfer learning
  • Detect objects and their locations
  • Transform pictures with amazing art styles
  • Understand simple speech commands
  • Describe images in natural language
  • Recognize drawing with Convolutional Neural Network and Long Short-Term Memory
  • Predict stock price with Recurrent Neural Network in TensorFlow and Keras
  • Generate and enhance images with generative adversarial networks
  • Build AlphaZero-like mobile game app in TensorFlow and Keras
  • Use TensorFlow Lite and Core ML on mobile
  • Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn
About

As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI.

This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips.

Features
  • Build TensorFlow-powered AI applications for mobile and embedded devices
  • Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning
  • Get practical insights and exclusive working code not available in the TensorFlow documentation
Page Count 404
Course Length 12 hours 7 minutes
ISBN 9781788834544
Date Of Publication 22 May 2018
TensorFlow Lite – an overview
Using TensorFlow Lite in iOS
Using TensorFlow Lite in Android
Core ML for iOS – an overview
Using Core ML with Scikit-Learn machine learning 
Using Core ML with Keras and TensorFlow
Summary

Authors

Jeff Tang

Jeff Tang fell in love with classical AI more than two decades ago. After his MS in CS, he worked on Machine Translation for 2 years and then, to survive the long AI winter, he worked on enterprise apps, voice apps, web apps, and mobile apps at startups, AOL, Baidu, and Qualcomm. He developed a top-selling iOS app with millions of downloads and was recognized by Google as a Top Android Market Developer. He reconnected with modern AI in 2015 and knew that AI will be his passion and commitment for the next two decades. One of his favorite topics is to make AI available anytime anywhere and hence the book.