AI and Machine Learning for On-Device Development: A Programmer's Guide, 1st Edition

AI and Machine Learning for On-Device Development: A Programmer's Guide, 1st Edition

by Laurence Moroney

Narrated by Ray Greenley

Unabridged — 9 hours, 18 minutes

AI and Machine Learning for On-Device Development: A Programmer's Guide, 1st Edition

AI and Machine Learning for On-Device Development: A Programmer's Guide, 1st Edition

by Laurence Moroney

Narrated by Ray Greenley

Unabridged — 9 hours, 18 minutes

Audiobook (Digital)

$24.99
FREE With a B&N Audiobooks Subscription | Cancel Anytime
$0.00

Free with a B&N Audiobooks Subscription | Cancel Anytime

START FREE TRIAL

Already Subscribed? 

Sign in to Your BN.com Account


Listen on the free Barnes & Noble NOOK app


Related collections and offers

FREE

with a B&N Audiobooks Subscription

Or Pay $24.99

Overview

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.



¿ Explore the options for implementing ML and AI on mobile devices



¿ Create ML models for iOS and Android



¿ Write ML Kit and TensorFlow Lite apps for iOS and Android, and Core ML/Create ML apps for iOS



¿ Choose the best techniques and tools for your use case, such as cloud-based versus on-device inference and high-level versus low-level APIs



¿ Learn privacy and ethics best practices for ML on devices

Product Details

BN ID: 2940176794403
Publisher: Ascent Audio
Publication date: 12/20/2022
Edition description: Unabridged
From the B&N Reads Blog

Customer Reviews