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Mobile Artificial Intelligence Projects
Mobile Artificial Intelligence Projects

Mobile Artificial Intelligence Projects: Develop seven projects on your smartphone using artificial intelligence and deep learning techniques

By Karthikeyan NG , Arun Padmanabhan , Matt Cole
€22.99 €8.99
Book Mar 2019 312 pages 1st Edition
eBook
€22.99 €8.99
Print
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eBook
€22.99 €8.99
Print
€28.99
Subscription
€14.99 Monthly

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Product Details


Publication date : Mar 30, 2019
Length 312 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789344073
Vendor :
Google
Category :
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Mobile Artificial Intelligence Projects

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Key benefits

  • Build practical, real-world AI projects on Android and iOS
  • Implement tasks such as recognizing handwritten digits, sentiment analysis, and more
  • Explore the core functions of machine learning, deep learning, and mobile vision

Description

We’re witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision. This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms. By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users.

What you will learn

Explore the concepts and fundamentals of AI, deep learning, and neural networks Implement use cases for machine vision and natural language processing Build an ML model to predict car damage using TensorFlow Deploy TensorFlow on mobile to convert speech to text Implement GAN to recognize hand-written digits Develop end-to-end mobile applications that use AI principles Work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Mar 30, 2019
Length 312 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789344073
Vendor :
Google
Category :

Table of Contents

12 Chapters
Preface Chevron down icon Chevron up icon
1. Artificial Intelligence Concepts and Fundamentals Chevron down icon Chevron up icon
2. Creating a Real-Estate Price Prediction Mobile App Chevron down icon Chevron up icon
3. Implementing Deep Net Architectures to Recognize Handwritten Digits Chevron down icon Chevron up icon
4. Building a Machine Vision Mobile App to Classify Flower Species Chevron down icon Chevron up icon
5. Building an ML Model to Predict Car Damage Using TensorFlow Chevron down icon Chevron up icon
6. PyTorch Experiments on NLP and RNN Chevron down icon Chevron up icon
7. TensorFlow on Mobile with Speech-to-Text with the WaveNet Model Chevron down icon Chevron up icon
8. Implementing GANs to Recognize Handwritten Digits Chevron down icon Chevron up icon
9. Sentiment Analysis over Text Using LinearSVC Chevron down icon Chevron up icon
10. What is Next? Chevron down icon Chevron up icon
11. Other Books You May Enjoy Chevron down icon Chevron up icon

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