Intelligent Mobile Projects with TensorFlow

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow

About This Book

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

Who This Book Is For

If you''re an iOS/Android developer interested in building and retraining others'' TensorFlow models and running them in your mobile apps, or if you''re a TensorFlow developer and want to run your new and amazing TensorFlow models on mobile devices, this book is for you. You''ll also benefit from this book if you''re interested in TensorFlow Lite, Core ML, or TensorFlow on Raspberry Pi.

What You Will 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

In Detail

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.

Style and approach

This book takes a practical, project-based approach to teach specifics of mobile development with TensorFlow. Using a reader-friendly approach, this book will provide detailed instructions and also discuss the broader context covered within.