000			03850nam a22002777i 4500
005			20250727111856.0
008			250727s2022 uk a|||fr|||| 00| 0 eng d
020			_a9789355510242
040			_aEG-GaU‬‬ _cEG-GaU‬‬ _dEG-GaU‬‬ _erda
082	0	4	_223 _a006.31 _bV.V.H
100	1		_aVeloso, Vasco Correia. _eauthor _960527
245	1	0	_aHands‑On Artificial Intelligence for Android : _bUnderstand Machine Learning and Unleash the Power of TensorFlow in Android Applications with Google ML Kit / _c Vasco Correia Veloso.
250			_aFirst edition.
264		1	_aIndia : _bBPB Publications, _c2022
300			_a394 pages : _billustrations ; _c23 cm
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
520			_aDescription 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. Table of Contents 1. Building an Application with Android Studio and Java 2. Event Handling and Intents in Android 3. Building our Base Application with Kotlin and SQLite 4. An Overview of Artificial Intelligence and Machine Learning 5. Introduction to TensorFlow 6. Training a Model for Image Recognition with TensorFlow 7. Android Camera Image Capture with CameraX 8. Using the Image Recognition Model in an Android Application 9. Detecting Faces with the Google ML Kit 10. Verifying Faces in Android with TensorFlow Lite 11. Registering Faces in the Application 12. Image Processing with Generative Adversarial Networks 13. Describing Images with NLP
650		0	_aAndroid (Operating system) _959978
650		0	_aMobile applications _xArtificial intelligence. _960528
650		0	_aMachine learning.
650		0	_aArtificial intelligence (Computer science) _960529
942			_2ddc _cBK
999			_c11104 _d11104