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Mobile Artificial Intelligence Projects Karthikeyan NG

Mobile Artificial Intelligence Projects By Karthikeyan NG

Mobile Artificial Intelligence Projects by Karthikeyan NG

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Summary

Artificial intelligence (AI) is rapidly becoming the most popular topic in business and science. This book introduces AI concepts and their use cases with a hands-on and application-focused approach. We will cover a range of projects covering tasks such as automated reasoning, facial recognition, digital assistants, auto text generation, and more.

Mobile Artificial Intelligence Projects Summary

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

Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorch

Key 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
Book 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
Who this book is for

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.

About Karthikeyan NG

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.

Table of Contents

Table of Contents
  1. Artificial Intelligence Concepts and Fundamentals
  2. Creating a Real-Estate price prediction mobile app
  3. Implementing Deepnet Architectures to Recognize Hand Written Digits
  4. Building a Machine Vision Mobile App to Classify Flower Species
  5. Building a ML Model to Predict Car Damage Using TensorFlow
  6. PyTorch experiments on NLP and RNN
  7. TensorFlow on Mobile with Speech-to-Text with the WaveNet Model
  8. Implementing GANs to Recognize Handwritten Digits
  9. Sentiment Analysis over Text Using LinearSVC
  10. What's next?

Additional information

NLS9781789344073
9781789344073
1789344077
Mobile Artificial Intelligence Projects: Develop seven projects on your smartphone using artificial intelligence and deep learning techniques by Karthikeyan NG
Karthikeyan NG
New
Paperback
Packt Publishing Limited
2019-03-30
312
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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