Book Image

Intelligent Mobile Projects with TensorFlow

By : Jeff Tang
Book Image

Intelligent Mobile Projects with TensorFlow

By: Jeff Tang

Overview of this book

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.
Table of Contents (14 chapters)

Building an AlphaZero-like Mobile Game App

Although the ever-increasing popularity of modern Artificial Intelligence (AI) was essentially caused by the breakthrough of deep learning in 2012, the historic events of Google DeepMind's AlphaGo beating Lee Sedol, the 18-time world champion of GO, 4-1 in March 2016 and then beating Ke Jie, the current #1-ranked GO player, 3-0 in May 2017, contributed in large part to making AI a household acronym. Due to the complexity of the GO game, it was wildly considered an impossible mission, or impossible for at least one more decade, that a computer program would beat top GO players.

After the match between AlphaGo and Ke Jie in May 2017, Google retired AlphaGo; DeepMind, the startup Google acquired for its pioneering deep reinforcement learning technologies and the developer of AlphaGo, decided to focus their AI research on other areas...