Book Image

Mobile Artificial Intelligence Projects

By : NG, Padmanabhan, Matt Cole
Book Image

Mobile Artificial Intelligence Projects

By: NG, Padmanabhan, Matt Cole

Overview of this book

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.
Table of Contents (12 chapters)
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

Summary

In this chapter we have accomplished a lot in this small chapter. We began the chapter with understanding the various datasets that are available for image classification, as well as how we could obtain or create images if we could not find any that met our requirements. Next, then divided the chapter into two distinct sections. In the first section we learned about creating our own image dataset. In the second section we learned how to use TensorFlow to build the model.

In the next chapter, we are going to extend our TensorFlow knowledge even further by using various TensorFlow libraries to build a machine learning model which will predict body damage done to a car.