AI and machine learning for on-device development :
Moroney, Laurence
AI and machine learning for on-device development : a programmer's guide by Laurence Moroney - New Delhi : O'Reilly, ©2021 - xv, 309 p. : ill. ; 24 cm
Includes index.
1. Introduction to AI and machine learning 2. Introduction to computer vision 3. Introduction to ML kit 4. Computer vision apps with ML kit on Android 5. Text processing apps with ML kit on Android 6. Computer vision apps with ML kit on iOS 7. Text processing apps with ML kit on iOS 8. Going deeper : understanding TensorFlow Lite 9. Creating custom models 10. Using custom models in Android 11. Using custom models in iOS 12. Productizing your app using Firebase 13. Create ML and Core ML for simple iOS apps 14. Accessing Cloud-based models from mobile apps 15. Ethics, fairness, and privacy for mobile apps.
AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today.
9789391043940
2022275560
GBC1B4081 bnb
020264943 Uk
Application software--Development.
Machine learning.
Mobile computing.
Logiciels d'application--Développement.
Apprentissage automatique.
Informatique mobile.
Application software--Development.
Machine learning.
Mobile computing.
Handbooks and manuals.
Q325.5 / .M662 2021
006.31 / MOR-A
AI and machine learning for on-device development : a programmer's guide by Laurence Moroney - New Delhi : O'Reilly, ©2021 - xv, 309 p. : ill. ; 24 cm
Includes index.
1. Introduction to AI and machine learning 2. Introduction to computer vision 3. Introduction to ML kit 4. Computer vision apps with ML kit on Android 5. Text processing apps with ML kit on Android 6. Computer vision apps with ML kit on iOS 7. Text processing apps with ML kit on iOS 8. Going deeper : understanding TensorFlow Lite 9. Creating custom models 10. Using custom models in Android 11. Using custom models in iOS 12. Productizing your app using Firebase 13. Create ML and Core ML for simple iOS apps 14. Accessing Cloud-based models from mobile apps 15. Ethics, fairness, and privacy for mobile apps.
AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android. Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today.
9789391043940
2022275560
GBC1B4081 bnb
020264943 Uk
Application software--Development.
Machine learning.
Mobile computing.
Logiciels d'application--Développement.
Apprentissage automatique.
Informatique mobile.
Application software--Development.
Machine learning.
Mobile computing.
Handbooks and manuals.
Q325.5 / .M662 2021
006.31 / MOR-A