AI and Machine Learning for on-Device Development (1st Edition) cover art

AI and Machine Learning for on-Device Development (1st Edition)

A Programmer's Guide

Preview
Try Premium Plus free
1 credit a month to buy any audiobook in our entire collection.
Access to thousands of additional audiobooks and Originals from the Plus Catalogue.
Member-only deals & discounts.
Auto-renews at $16.45/mo after 30 days. Cancel anytime.

AI and Machine Learning for on-Device Development (1st Edition)

By: Laurence Moroney
Narrated by: Ray Greenley
Try Premium Plus free

Auto-renews at $16.45/mo after 30 days. Cancel anytime.

Buy Now for $26.99

Buy Now for $26.99

About this listen

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

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2021 Laurence Moroney (P)2022 Ascent Audio
Computer Science Machine Theory & Artificial Intelligence Programming Programming & Software Development Software Development & Engineering Data Science Machine Learning Technology Software Development Software Artificial Intelligence
No reviews yet
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.