This is the code repository for Mobile Artificial Intelligence Projects, published by Packt.
Develop seven projects on your smartphone using artificial intelligence and deep learning techniques
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 covers the following exciting features: 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
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All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
def sigmoid ( x ):
return 1 / ( 1 + e **- x )
Following is what you need for this book: Mobile Artificial Intelligence Projects is for machine learning professionals, deep learning engineers, AI engineers, and software engineers who want to integrate AI technology into mobile-based platforms and applications. Sound knowledge of machine learning and experience with any programming language is all you need to get started with this book.
With the following software and hardware list you can run all code files present in the book (Chapter 1-10).
| Chapter | Software required | OS required |
|---|---|---|
| 1-10 | TensorFlow, Xcode, Android Studio | Windows, Mac OS X, and Linux (Any) |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Karthikeyan NG is the Head of Engineering and Technology at the Indian lifestyle & fashion retail brand. He served as a software engineer at Symantec Corporation and has worked with 2 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 is a machine learning consultant with over 8 years of experience building end-to-end machine learning solutions and applications. Presently working with a couple of start-ups in the financial and insurance sectors, he specializes in automating manual workflows using AI and creating machine vision and NLP applications. Previously, he led the data science team of a Singapore-based product start-up in the restaurant domain. Over the years, he has also built standalone and integrated machine learning solutions in the manufacturing, shipping, and e-commerce domains. His interests lie in research, development, and applications of AI and deep architectures.
Matt R. Cole is a seasoned developer and author with 30 years' experience in Microsoft Windows, C, C++, C# and .Net. Matt is the owner of Evolved AI Solutions, a premier provider of advanced Machine Learning and Bio-AI technologies. Matt is a leading authority on Microservices, and developed the first enterprise grade Microservice framework written completely in C# and .Net. Matt also developed the first Bio Artificial Intelligence framework which completely integrates mirror and canonical neurons. He continues to push the limits of Machine Learning, Biological or Swarm Artificial Intelligence, and Genetic computing.
Machine Learning Projects for Mobile Applications
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