Mobile Artificial Intelligence Projects

coverpage

Title Page

Copyright and Credits

Mobile Artificial Intelligence Projects

Dedication

About Packt

Why subscribe?

Packt.com

Contributors

About the authors

About the reviewers

Packt is searching for authors like you

Preface

Who this book is for

What this book covers

To get the most out of this book

Download the example code files

Download the color images

Conventions used

Get in touch

Reviews

Artificial Intelligence Concepts and Fundamentals

AI versus machine learning versus deep learning

Evolution of AI

The mechanics behind ANNs

Biological neurons

Working of artificial neurons

Scenario 1

Scenario 2

Scenario 3

ANNs

Activation functions

Sigmoid function

Tanh function

ReLU function

Cost functions

Mean squared error

Cross entropy

Gradient descent

Backpropagation – a method for neural networks to learn

Softmax

TensorFlow Playground

Summary

Further reading

Creating a Real-Estate Price Prediction Mobile App

Setting up the artificial intelligence environment

Downloading and installing Anaconda

Advantages of Anaconda

Creating an Anaconda environment

Installing dependencies

Building an ANN model for prediction using Keras and TensorFlow

Serving the model as an API

Building a simple API to add two numbers

Building an API to predict the real estate price using the saved model

Creating an Android app to predict house prices

Downloading and installing Android Studio

Creating a new Android project with a single screen

Designing the layout of the screen

Adding a functionality to accept input

Adding a functionality to consume the RESTful API that serves the model

Additional notes

Creating an iOS app to predict house prices

Downloading and installing Xcode

Creating a new iOS project with a single screen

Designing the layout of the screen

Adding a functionality to accept input

Adding a functionality to consume the RESTful API that serves the model

Additional notes

Summary

Implementing Deep Net Architectures to Recognize Handwritten Digits

Building a feedforward neural network to recognize handwritten digits version one

Building a feedforward neural network to recognize handwritten digits version two

Building a deeper neural network

Introduction to Computer Vision

Machine learning for Computer Vision

Conferences help on Computer Vision

Summary

Further reading

Building a Machine Vision Mobile App to Classify Flower Species

CoreML versus TensorFlow Lite

CoreML

TensorFlow Lite

What is MobileNet?

Datasets for image classification

Creating your own image dataset using Google images

Alternate approach of creating custom datasets from videos

Building your model using TensorFlow

Running TensorBoard

Summary

Building an ML Model to Predict Car Damage Using TensorFlow

Transfer learning basics

Approaches to transfer learning

Building the TensorFlow model

Installing TensorFlow

Training the images

Building our own model

Retraining with our own images

Architecture

Distortions

Hyperparameters