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050 0 0 _aQ325.5
_b.M662 2021
082 0 4 _a006.31
_223
_bMOR-A
100 1 _aMoroney, Laurence
245 1 0 _aAI and machine learning for on-device development :
_ba programmer's guide
_cby Laurence Moroney
260 _aNew Delhi :
_bO'Reilly,
_c©2021
300 _axv, 309 p. :
_bill. ;
_c24 cm
500 _aIncludes index.
505 0 _t1. Introduction to AI and machine learning
_t2. Introduction to computer vision
_t3. Introduction to ML kit
_t4. Computer vision apps with ML kit on Android
_t5. Text processing apps with ML kit on Android
_t6. Computer vision apps with ML kit on iOS
_t7. Text processing apps with ML kit on iOS
_t8. Going deeper : understanding TensorFlow Lite
_t9. Creating custom models
_t 10. Using custom models in Android
_t11. Using custom models in iOS
_t12. Productizing your app using Firebase
_t13. Create ML and Core ML for simple iOS apps
_t14. Accessing Cloud-based models from mobile apps
_t15. Ethics, fairness, and privacy for mobile apps.
520 _aAI 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.
650 0 _aApplication software
_xDevelopment.
650 0 _aMachine learning.
650 0 _aMobile computing.
650 6 _aLogiciels d'application
_xDéveloppement.
650 6 _aApprentissage automatique.
650 6 _aInformatique mobile.
650 7 _aApplication software
_xDevelopment.
_2fast
650 7 _aMachine learning.
_2fast
650 7 _aMobile computing.
_2fast
655 7 _aHandbooks and manuals.
_2lcgft
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942 _2ddc
_cBK
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