Hands-On Artificial Intelligence for Android: Understand Machine Learning and Unleash the Power of TensorFlow in Android Applications with Google ML Kit

Book Description

Build machine learning models and train them to make Android applications much smarter.

Key Features

• Learn by doing, training, and evaluating your own machine learning models.
• Includes pre-trained TensorFlow models for image processing.
• Explains practical use cases of artificial intelligence in Android.

Description

This book features techniques and real implementations of machine learning applications on Android phones. This

the book covers various developer tools, including TensorFlow and Google ML Kit.

The book begins with a quick review of android application development fundamentals and a couple of Java and Kotlin implementations developed using the Android Studio integrated development environment. The book explores TensorFlow Lite and Google ML Kit, along with some of the most widely used machine learning techniques. The book covers real projects on TensorFlow, demonstrates how to collect photos with Camera X, and preprocess them with the Google ML Kit. It explains how to onboard the power of machine learning in Android applications that detect images, identify faces, and apply effects to photographs, among other things. These applications are constructed on top of TensorFlow models – some of which were created and trained by the reader – and then converted to TensorFlow Lite for mobile applications.

After reading the book, the reader will be able to apply machine learning techniques to create Android applications and take their applications to the next level. This book can be a successful tool to deep dive into Data Science for all mobile programmers.

What you will learn

• Get well-versed with Android Development and the fundamentals of AI.
• Learn to set up the ML environment with hands-on knowledge of TensorFlow.
• Build, train, and evaluate Machine Learning models.
• Practice ML by working on real face verification and identification applications.
• Explore cutting-edge models such as GAN and RNN in detail.
• Experience the use of CameraX, SQLite, and Google ML Kit on Android.

Who this book is for

This book is intended for android developers, application engineers, machine learning engineers, and anybody interested in infusing intelligent, inventive, and smart features into mobile phones. Readers should have a basic understanding of the Java programming language.

中文：

书名：Android人工智能实践：了解机器学习并释放TensorFlow的力量通过Google ML Kit在Android应用程序中流动

建立机器学习模型，并对它们进行训练，使Android应用程序变得更加智能。

主要特点

• 通过实践、培训和评估您自己的机器学习模型来学习。
• 包括用于图像处理的预先训练的TensorFlow模型。
• 解释人工智能在Android中的实际使用案例。

描述

这本书介绍了Android手机上机器学习应用的技术和实际实现。这

这本书涵盖了各种开发工具，包括TensorFlow和Google ML Kit。

本书首先简要回顾了Android应用程序开发的基础知识，以及使用Android Studio集成开发环境开发的几个Java和Kotlin实现。这本书探索了TensorFlow Lite和Google ML Kit，以及一些最广泛使用的机器学习技术。这本书涵盖了TensorFlow上的真实项目，演示了如何使用Camera X收集照片，并使用Google ML Kit对其进行预处理。它解释了如何在Android应用程序中加入机器学习的力量，这些应用程序可以检测图像、识别人脸，并对照片应用效果等。这些应用程序构建在TensorFlow模型之上-其中一些模型是由读者创建和训练的-然后转换为TensorFlow Lite用于移动应用程序。

在阅读完这本书后，读者将能够应用机器学习技术来创建Android应用程序，并将他们的应用程序提升到一个新的水平。这本书可以成为所有移动程序员深入研究数据科学的成功工具。

你将学到什么

• 熟悉Android开发和人工智能的基础知识。
• Learn to set up the ML environment with hands-on knowledge of TensorFlow.
• Build, train, and evaluate Machine Learning models.
• 通过使用真实的人脸验证和身份识别应用程序来练习ML。
• 详细探索GaN和RNN等前沿模型。
• 体验在Android上使用CameraX、SQLite和Google ML Kit。

这本书是为谁而写的

本书面向Android开发人员、应用工程师、机器学习工程师，以及任何对将智能、发明和智能功能注入手机感兴趣的人。读者应该对Java编程语言有基本的了解。