Mobile Artificial Intelligence Projects: Develop seven projects on your smartphone using artificial intelligence and deep learning techniques
By 作者: Karthikeyan NG - Arun Padmanabhan - Matt R. Cole
ISBN-10 书号: 1789344077
ISBN-13 书号: 9781789344073
Release Finelybook 出版日期: 2019-03-30
pages 页数: (312 )
The Book Description
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
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.
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
1 Artificial Intelligence Concepts and Fundamentals
2 Creating a Real-Estate Price Prediction Mobile App
3 Implementing Deep Net Architectures to Recognize Handwritten Digits
4 Building a Machine Vision Mobile App to Classify Flower Species
5 Building an 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 is Next?