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Intelligent Mobile Projects with TensorFlow
Intelligent Mobile Projects with TensorFlow

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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Intelligent Mobile Projects with TensorFlow

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Key benefits

  • 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

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.

Who is this book 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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 22, 2018
Length: 404 pages
Edition : 1st
Language : English
ISBN-13 : 9781788628808
Vendor :
Google
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What do you get with eBook?

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Product Details

Publication date : May 22, 2018
Length: 404 pages
Edition : 1st
Language : English
ISBN-13 : 9781788628808
Vendor :
Google
Category :
Languages :
Tools :

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Table of Contents

13 Chapters
Getting Started with Mobile TensorFlow Chevron down icon Chevron up icon
Classifying Images with Transfer Learning Chevron down icon Chevron up icon
Detecting Objects and Their Locations Chevron down icon Chevron up icon
Transforming Pictures with Amazing Art Styles Chevron down icon Chevron up icon
Understanding Simple Speech Commands Chevron down icon Chevron up icon
Describing Images in Natural Language Chevron down icon Chevron up icon
Recognizing Drawing with CNN and LSTM Chevron down icon Chevron up icon
Predicting Stock Price with RNN Chevron down icon Chevron up icon
Generating and Enhancing Images with GAN Chevron down icon Chevron up icon
Building an AlphaZero-like Mobile Game App Chevron down icon Chevron up icon
Using TensorFlow Lite and Core ML on Mobile Chevron down icon Chevron up icon
Developing TensorFlow Apps on Raspberry Pi Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(4 Ratings)
5 star 100%
4 star 0%
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1 star 0%
triston Jul 13, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am very delighted that there is so much useful and practical information in this book. From convolution neural networks to recurrent neural networks, from where to find the resources to how to put it into your smart apps, it is one of best books in the market to help you to build intelligent mobile projects. It also a very nice tutorial book for machine learning, especially machine learning through Tenorflow, even though you have no interest in developing apps or projects on mobile devices.
Amazon Verified review Amazon
gary d. smith Jul 01, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I was looking for an entry level book that included at least some information on the use of the Raspberry PI with TensorFlow, but not one that was dumbed down too much. This fits my needs perfectly.. I read through the whole book and am now working through my first example and so far going well. I like his writing style which helps me a lot in understanding. This is not a 15 minute cookbook, but a well thought out and well written textbook. so be prepared to put some effort into it. I really like it.
Amazon Verified review Amazon
Rui Jul 15, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As an iOS developer with little experience in machine learning, this book is an eye-opener for the many aspects that iOS and ML can be combined. I also found that the examples were easy to follow and inspirational for future projects.
Amazon Verified review Amazon
Ignacio Arias Oct 30, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great author!
Amazon Verified review Amazon
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