Packt+ | Advance your knowledge in tech

All Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Machine Learning for Mobile

You're reading from Machine Learning for Mobile

Product type Book

Published in Dec 2018

Publisher Packt

ISBN-13 9781788629355

Pages 274 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Revathi Gopalakrishnan

Avinash Venkateswarlu

View More author details

Table of Contents (19) Chapters

Title Page

Copyright and Credits

About Packt

Contributors

Preface

1. Introduction to Machine Learning on Mobile

2. Supervised and Unsupervised Learning Algorithms

3. Random Forest on iOS

4. TensorFlow Mobile in Android

5. Regression Using Core ML in iOS

6. The ML Kit SDK

7. Spam Message Detection

8. Fritz

9. Neural Networks on Mobile

10. Mobile Application Using Google Vision

11. The Future of ML on Mobile Applications

1. Question and Answers

2. Other Books You May Enjoy

Leave a review - let other readers know what you think

Index

Writing the mobile application using the TensorFlow model

What we are going to do?

In this section, we are going to build a small (a+b)2 model in TensorFlow, deploy it into an android mobile application, and run it from the Android mobile device.

What do you need to know?

To proceed in this section, you need a working installation of Python, TensorFlow dependencies, and android studio, and also some knowledge of python and java android. You can find the instructions on how to install TensorFlow here: https://www.tensorflow.org/install/.

If you need a detailed installation procedure for Windows, please refer to the one provided with screenshots in the Chapter 11, The Future of ML on Mobile Applications of this book.

We saw the details of TensorFlow already. To put it onto a simple words TensorFlow is nothing but saving the tensor flow program written in python into a small file that can be read by the C++ native libraries what we will install in our Android app and can execute and do the inference...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $15.99/month. Cancel anytime}

Authors (2)

Revathi Gopalakrishnan

Revathi Gopalakrishnan is a software professional with more than 17 years of experience in the IT industry. She has worked extensively in mobile application development and has played various roles, including developer and architect, and has led various enterprise mobile enablement initiatives for large organizations. She has also worked on a host of consumer applications for various customers around the globe. She has an interest in emerging areas, and machine learning is one of them. Through this book, she has tried to bring out how machine learning can make mobile application development more interesting and super cool. Revathi resides in Chennai and enjoys her weekends with her husband and her two lovely daughters.

Read more

See other products by Revathi Gopalakrishnan

Avinash Venkateswarlu

Avinash Venkateswarlu has more than 3 years' experience in IT and is currently exploring mobile machine learning. He has worked in enterprise mobile enablement projects and is interested in emerging technologies such as mobile machine learning and cryptocurrency. Venkateswarlu works in Chennai, but enjoys spending his weekends in his home town, Nellore. He likes to do farming or yoga when he is not in front of his laptop exploring emerging technologies.

See other products by Avinash Venkateswarlu

Other recommended products

Related to this chapter

Python Machine Learning Workbook for Beginners

Python Machine Learning Workbook for Beginners

Through a series of machine learning and data science projects, this book represents a beginner-friendly crash course to Python’s practical application in businesses and your own career.

Mar 2021 9 hours 18 minutes

Machine Learning Projects for Mobile Applications

Machine Learning Projects for Mobile Applications

Machine learning on mobile devices is the next big thing. This book presents the implementation of 7 practical, real-world projects that will teach you how to leverage TensorFlow Lite and Core ML to perform efficient machine learning on a cross-platform mobile OS. You will get to work on image, text, and video datasets through these projects.

Oct 2018 8 hours 12 minutes

Intelligent Mobile Projects with TensorFlow

Intelligent Mobile Projects with TensorFlow

Google TensorFlow is used to train all the models deployed and running on mobile devices. This book covers 10 projects on the implementation of all major AI areas of iOS, Android, and Raspberry Pi: computer vision, speech and language processing, and machine learning.

May 2018 13 hours 28 minutes

Machine Learning with Core ML

Machine Learning with Core ML

Discover the world of ML through the lens and application of Core ML. We will take you through examples; each example provides a new use case uncovering how ML can be applied specifically to computer vision tasks. By the end of the book, you will have the intuition and skills required to boost your iOS applications with the help of machine learning.

Jun 2018 12 hours 36 minutes

Mobile Artificial Intelligence Projects

Mobile Artificial Intelligence Projects

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.

Mar 2019 10 hours 24 minutes

Mastering Firebase for Android Development

Mastering Firebase for Android Development

Firebase is a completely scalable, real-time backend service and provides all the tools necessary to develop rich, collaborative applications using client side code. This books will take deep dive into the features of Firebase by exploring its complete toolchain.

Jun 2018 13 hours 8 minutes

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Deep learning is rapidly becoming the most popular topic in the industry. This book introduces trending deep learning concepts and their use cases with an industrial and application-focused approach. You will cover a range of projects covering tasks such as mobile vision, facial recognition, smart AI assistant, augmented reality, and more.

Apr 2020 12 hours 40 minutes

Hands-On Machine Learning on Google Cloud Platform

Hands-On Machine Learning on Google Cloud Platform

In this book, you will learn how to create powerful machine learning based applications for a wide variety of problems leveraging different data services from the Google Cloud Platform. Finally, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems.

Apr 2018 16 hours 40 minutes

Hands-On Machine Learning with Microsoft Excel 2019

Hands-On Machine Learning with Microsoft Excel 2019

Machine learning has become a core necessity for every business and organization. With this book, you will learn to analyze your Excel data to search for patterns and return a series of interesting facts or trends about the data. You will learn to perform machine learning tasks using Excel plugins and APIs without much code required.

Apr 2019 8 hours 28 minutes

Machine Learning with Swift

Machine Learning with Swift

Machine learning has become a hot topic for developers who want to impart intelligent functionality to their applications. In this book, we'll show you how to incorporate various machine learning libraries available for iOS developers. You’ll quickly get acquainted with the machine learning fundamentals and implement various algorithms with Swift.

Feb 2018 12 hours 36 minutes

Hands-On Machine Learning with IBM Watson

Hands-On Machine Learning with IBM Watson

A practical guide on Machine learning with IBM cloud to act as a solid yet concise reference for the readers. You will learn about the role of data representation and feature extraction in machine learning. This book will help you learn how to use the IBM Cloud and Watson Machine learning service to develop real-world machine learning solutions.

Mar 2019 9 hours 36 minutes

Hands-On Artificial Intelligence on Google Cloud Platform

Hands-On Artificial Intelligence on Google Cloud Platform

This book focuses on the use of powerful AI tools offered by Google Cloud Platform to develop and design intelligent applications on the cloud. You will start with topics that set the foundation for using GCP with various powerful libraries, and then move on to building end to end AI applications using them.

Mar 2020 11 hours 40 minutes

Personalised recommendations for you

Based on your interests and search pattern

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

Aug 2023 7 hours 40 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

Dec 2023 12 hours 0 minutes

Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

Aug 2023 22 hours 48 minutes

Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

Sep 2023 8 hours 36 minutes

Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

Sep 2023 8 hours 36 minutes

Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

Oct 2023 21 hours 12 minutes

Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

Aug 2023 14 hours 0 minutes

Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

Dec 2023 8 hours 0 minutes

TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

Nov 2023 22 hours 8 minutes