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Mobile Artificial Intelligence Projects

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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
About

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.

Features
  • 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
Page Count 312
Course Length 9 hours 21 minutes
ISBN9781789344073
Date Of Publication 30 Mar 2019
Building the ML model using scikit–learn
Building the iOS application
Summary
Popular ML–based cloud services
Building your first ML model
Summary
Further reading

Authors

Matt R. Cole

Matt R. Cole is a developer and author with 30 years' experience. Matt is the owner of Evolved AI Solutions, a provider of advanced Machine Learning/Bio-AI, Microservice and Swarm technologies. Matt is recognized as a leader in Microservice and Artificial Intelligence development and design. As an early pioneer of VOIP, Matt developed the VOIP system for NASA for the International Space Station and Space Shuttle. Matt also developed the first Bio Artificial Intelligence framework which completely integrates mirror and canonical neurons. In his spare time Matt authors books, and continues his education taking every available course in advanced mathematics, AI/ML/DL, Quantum Mechanics/Physics, String Theory and Computational Neuroscience.

Karthikeyan NG

Karthikeyan NG is the Head of Engineering and Technology at the Indian lifestyle and fashion retail brand. He served as a software engineer at Symantec Corporation and has worked with two US-based startups as an early employee and has built various products. He has 9+ years of experience in various scalable products using Web, Mobile, ML, AR, and VR technologies. He is an aspiring entrepreneur and technology evangelist. His interests lie in exploring new technologies and innovative ideas to resolve a problem. He has also bagged prizes from more than 15 hackathons, is a TEDx speaker and a speaker at technology conferences and meetups as well as guest lecturer at a Bengaluru University. When not at work, he is found trekking.

Arun Padmanabhan

Arun Padmanabhan is a Machine Learning consultant with over 8 years of experience building end-to-end machine learning solutions and applications. Currently working with a couple of start-ups in the Financial and Insurance industries, he specializes in automating manual workflows using AI and creating Machine Vision and NLP applications. In past, he has led the data science team of a Singapore based product startup in the restaurant domain. He also has built stand-alone and integrated Machine Learning solutions in the Manufacturing, Shipping and e-commerce domains over the years. His interests are in research, development and applications of Artificial Intelligence and Deep Architectures.