Intelligent Mobile Projects with TensorFlow

Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Internet
Cover of the book Intelligent Mobile Projects with TensorFlow by Jeff Tang, Packt Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Jeff Tang ISBN: 9781788628808
Publisher: Packt Publishing Publication: May 22, 2018
Imprint: Packt Publishing Language: English
Author: Jeff Tang
ISBN: 9781788628808
Publisher: Packt Publishing
Publication: May 22, 2018
Imprint: Packt Publishing
Language: English

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

Key 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

Book Description

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.

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

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

Key Features

Book Description

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.

What you will learn

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.

More books from Packt Publishing

Cover of the book OpenStack Sahara Essentials by Jeff Tang
Cover of the book AWS Development Essentials by Jeff Tang
Cover of the book OpenVPN 2 Cookbook by Jeff Tang
Cover of the book Instant jQuery 2.0 Table Manipulation How-to by Jeff Tang
Cover of the book NumPy Cookbook - Second Edition by Jeff Tang
Cover of the book QGIS 2 Cookbook by Jeff Tang
Cover of the book Practical Digital Forensics by Jeff Tang
Cover of the book Enterprise Agility by Jeff Tang
Cover of the book Facebook Application Development with Graph API Cookbook by Jeff Tang
Cover of the book Applying and Extending Oracle Spatial by Jeff Tang
Cover of the book Drupal 7 Cookbook by Jeff Tang
Cover of the book Kivy — Interactive Applications and Games in Python - Second Edition by Jeff Tang
Cover of the book Silverlight 4 User Interface Cookbook by Jeff Tang
Cover of the book JIRA 4 Essentials by Jeff Tang
Cover of the book Penetration Testing with Raspberry Pi - Second Edition by Jeff Tang
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy