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Sinopsis
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
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Laurence Moroney is the lead AI Advocate at Google. A veteran in the programming and machine learning industry, Laurence has authored over 20 books, including top selling programming books, science fiction novels, and even movie-related comic books. He teaches the TensorFlow specializations on Coursera with Andrew Ng of deeplearning.ai. A recognized speaker all over the world, Laurence is passionate about demistifying AI and ML for software developers.
"Sobre este título" puede pertenecer a otra edición de este libro.
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AI and Machine Learning for On-Device Development : A Programmer's Guide
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Paperback. Condición: New. 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 models and running them 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--and when to use eachCreate ML models for iOS and AndroidWrite ML Kit and TensorFlow Lite apps for iOS and Android and Core ML/Create ML apps for iOSUnderstand how to choose the best techniques and tools for your use case: on-device inference versus cloud-based inference, high-level APIs versus low-level APIs, and moreLearn privacy and ethics best practices for ML on devices. Nº de ref. del artículo: LU-9781098101749
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AI and Machine Learning for On-Device Development (Paperback)
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ISBN 10: 109810174X
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Paperback. Condición: new. Paperback. 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 models and running them 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--and when to use each 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 Understand how to choose the best techniques and tools for your use case: on-device inference versus cloud-based inference, high-level APIs versus low-level APIs, and more Learn privacy and ethics best practices for ML on devices" This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and Android. It 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781098101749
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