Packt+ | Advance your knowledge in tech

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Machine Learning Projects for Mobile Applications

You're reading from Machine Learning Projects for Mobile Applications Build Android and iOS applications using TensorFlow Lite and Core ML

Product type Paperback

Published in Oct 2018

Publisher Packt

ISBN-13 9781788994590

Length 246 pages

Edition 1st Edition

Languages

Python

Tools

Android

Concepts

Machine Learning

Author (1):

Karthikeyan NG

View More author details

Table of Contents (11) Chapters

Preface

1. Mobile Landscapes in Machine Learning FREE CHAPTER

2. CNN Based Age and Gender Identification Using Core ML

3. Applying Neural Style Transfer on Photos

4. Deep Diving into the ML Kit with Firebase

5. A Snapchat-Like AR Filter on Android

6. Handwritten Digit Classifier Using Adversarial Learning

7. Face-Swapping with Your Friends Using OpenCV

8. Classifying Food Using Transfer Learning

9. What's Next?

10. Other Books You May Enjoy

Leave a review - let other readers know what you think

Summary

In this chapter, we have learned how to build a complete face-swapping application. This is one of the basic components of computer vision research. A lot of useful applications can be built on top of this.

In the next chapter, we will build our own food classifier using TensorFlow as well as building that into an iOS application using Core ML.

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 $19.99/month. Cancel anytime

Authors (1)

NG

NG

Karthikeyan NG is the Head of Engineering and Technology at the Indian lifestyle and 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.

See other products by NG

Other recommended products

Related to this chapter

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 10h 24m

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 13h 8m

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 13h 8m

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 13h 28m

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 13h 28m

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 13h 28m

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 13h 28m

Machine Learning for Mobile

Machine Learning for Mobile

This book will help you build intelligent mobile applications for Android and iOS using machine learning. In the process, you will use popular machine learning toolkits such as TensorFlow Lite, Core ML, ML Kit and Fritz to build and deploy state-of-the-art machine learning models for mobile devices.

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 12h 36m

Mastering Computer Vision with TensorFlow 2.x

Mastering Computer Vision with TensorFlow 2.x

You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.

May 2020 14h 20m

Mastering Computer Vision with TensorFlow 2.x

Mastering Computer Vision with TensorFlow 2.x

You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.

May 2020 14h 20m

Mastering Computer Vision with TensorFlow 2.x

Mastering Computer Vision with TensorFlow 2.x

You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.

May 2020 14h 20m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m