Machine Learning with Core ML: An iOS developer's guide to implementing machine learning in mobile apps
bLeverage the power of Apple's Core ML to create smart iOS apps/bh2About This Book/h2ulliExplore the concepts of machine learning and Apple's Core ML APIs/liliUse Core ML to understand and transform images and videos/liliExploit the power of using CNN and RNN in iOS applications/li/ulh2Who...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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Ausgabe: | 1 |
Schlagworte: | |
Zusammenfassung: | bLeverage the power of Apple's Core ML to create smart iOS apps/bh2About This Book/h2ulliExplore the concepts of machine learning and Apple's Core ML APIs/liliUse Core ML to understand and transform images and videos/liliExploit the power of using CNN and RNN in iOS applications/li/ulh2Who This Book Is For/h2Machine Learning with Core ML is for you if you are an intermediate iOS developer interested in applying machine learning to your mobile apps. This book is also for those who are machine learning developers or deep learning practitioners who want to bring the power of neural networks in their iOS apps. Some exposure to machine learning concepts would be beneficial but not essential, as this book acts as a launchpad into the world of machine learning for developers.h2What You Will Learn/h2ulliUnderstand components of an ML project using algorithms, problems, and data/liliMaster Core ML by obtaining and importing machine learning model, and generate classes/liliPrepare data for machine learning model and interpret results for optimized solutions/liliCreate and optimize custom layers for unsupported layers/liliApply CoreML to image and video data using CNN/liliLearn the qualities of RNN to recognize sketches, and augment drawing/liliUse Core ML transfer learning to execute style transfer on images/li/ulh2In Detail/h2Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine learning models and then integrate them into your iOS apps.Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this book, you'll walk through realistic and interesting examples of machine learning in the context of mobile platforms (specifically iOS). You'll learn to implement Core ML for visual-based applications using the principles of transfer learning and neural networks. Having got to grips with the basics, you'll discover a series of seven examples, each providing a new use-case that uncovers how machine learning can be applied along with the related concepts.By the end of the book, you will have the skills required to put machine learning to work in their own applications, using the Core ML APIsh2Style and approach/h2An easy-to-follow step by step guide which will help you get to grips with real world application of CoreML |
Beschreibung: | 1 Online-Ressource (378 Seiten) |
ISBN: | 9781788835596 |
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520 | |a bLeverage the power of Apple's Core ML to create smart iOS apps/bh2About This Book/h2ulliExplore the concepts of machine learning and Apple's Core ML APIs/liliUse Core ML to understand and transform images and videos/liliExploit the power of using CNN and RNN in iOS applications/li/ulh2Who This Book Is For/h2Machine Learning with Core ML is for you if you are an intermediate iOS developer interested in applying machine learning to your mobile apps. This book is also for those who are machine learning developers or deep learning practitioners who want to bring the power of neural networks in their iOS apps. | ||
520 | |a Some exposure to machine learning concepts would be beneficial but not essential, as this book acts as a launchpad into the world of machine learning for developers.h2What You Will Learn/h2ulliUnderstand components of an ML project using algorithms, problems, and data/liliMaster Core ML by obtaining and importing machine learning model, and generate classes/liliPrepare data for machine learning model and interpret results for optimized solutions/liliCreate and optimize custom layers for unsupported layers/liliApply CoreML to image and video data using CNN/liliLearn the qualities of RNN to recognize sketches, and augment drawing/liliUse Core ML transfer learning to execute style transfer on images/li/ulh2In Detail/h2Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. | ||
520 | |a It allows you to train your machine learning models and then integrate them into your iOS apps.Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this book, you'll walk through realistic and interesting examples of machine learning in the context of mobile platforms (specifically iOS). You'll learn to implement Core ML for visual-based applications using the principles of transfer learning and neural networks. Having got to grips with the basics, you'll discover a series of seven examples, each providing a new use-case that uncovers how machine learning can be applied along with the related concepts.By the end of the book, you will have the skills required to put machine learning to work in their own applications, using the Core ML APIsh2Style and approach/h2An easy-to-follow step by step guide which will help you get to grips with real world application of CoreML | ||
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Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Newnham, Joshua |
author_facet | Newnham, Joshua |
author_role | aut |
author_sort | Newnham, Joshua |
author_variant | j n jn |
building | Verbundindex |
bvnumber | BV047070081 |
collection | ZDB-5-WPSE |
ctrlnum | (ZDB-5-WPSE)9781788835596378 (OCoLC)1227476101 (DE-599)BVBBV047070081 |
edition | 1 |
format | Electronic eBook |
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illustrated | Not Illustrated |
index_date | 2024-07-03T16:13:34Z |
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institution | BVB |
isbn | 9781788835596 |
language | English |
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psigel | ZDB-5-WPSE |
publishDate | 2018 |
publishDateSearch | 2018 |
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publisher | Packt Publishing Limited |
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spelling | Newnham, Joshua Verfasser aut Machine Learning with Core ML An iOS developer's guide to implementing machine learning in mobile apps Newnham, Joshua 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (378 Seiten) txt rdacontent c rdamedia cr rdacarrier bLeverage the power of Apple's Core ML to create smart iOS apps/bh2About This Book/h2ulliExplore the concepts of machine learning and Apple's Core ML APIs/liliUse Core ML to understand and transform images and videos/liliExploit the power of using CNN and RNN in iOS applications/li/ulh2Who This Book Is For/h2Machine Learning with Core ML is for you if you are an intermediate iOS developer interested in applying machine learning to your mobile apps. This book is also for those who are machine learning developers or deep learning practitioners who want to bring the power of neural networks in their iOS apps. Some exposure to machine learning concepts would be beneficial but not essential, as this book acts as a launchpad into the world of machine learning for developers.h2What You Will Learn/h2ulliUnderstand components of an ML project using algorithms, problems, and data/liliMaster Core ML by obtaining and importing machine learning model, and generate classes/liliPrepare data for machine learning model and interpret results for optimized solutions/liliCreate and optimize custom layers for unsupported layers/liliApply CoreML to image and video data using CNN/liliLearn the qualities of RNN to recognize sketches, and augment drawing/liliUse Core ML transfer learning to execute style transfer on images/li/ulh2In Detail/h2Core ML is a popular framework by Apple, with APIs designed to support various machine learning tasks. It allows you to train your machine learning models and then integrate them into your iOS apps.Machine Learning with Core ML is a fun and practical guide that not only demystifies Core ML but also sheds light on machine learning. In this book, you'll walk through realistic and interesting examples of machine learning in the context of mobile platforms (specifically iOS). You'll learn to implement Core ML for visual-based applications using the principles of transfer learning and neural networks. Having got to grips with the basics, you'll discover a series of seven examples, each providing a new use-case that uncovers how machine learning can be applied along with the related concepts.By the end of the book, you will have the skills required to put machine learning to work in their own applications, using the Core ML APIsh2Style and approach/h2An easy-to-follow step by step guide which will help you get to grips with real world application of CoreML COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory |
spellingShingle | Newnham, Joshua Machine Learning with Core ML An iOS developer's guide to implementing machine learning in mobile apps COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory |
title | Machine Learning with Core ML An iOS developer's guide to implementing machine learning in mobile apps |
title_auth | Machine Learning with Core ML An iOS developer's guide to implementing machine learning in mobile apps |
title_exact_search | Machine Learning with Core ML An iOS developer's guide to implementing machine learning in mobile apps |
title_exact_search_txtP | Machine Learning with Core ML An iOS developer's guide to implementing machine learning in mobile apps |
title_full | Machine Learning with Core ML An iOS developer's guide to implementing machine learning in mobile apps Newnham, Joshua |
title_fullStr | Machine Learning with Core ML An iOS developer's guide to implementing machine learning in mobile apps Newnham, Joshua |
title_full_unstemmed | Machine Learning with Core ML An iOS developer's guide to implementing machine learning in mobile apps Newnham, Joshua |
title_short | Machine Learning with Core ML |
title_sort | machine learning with core ml an ios developer s guide to implementing machine learning in mobile apps |
title_sub | An iOS developer's guide to implementing machine learning in mobile apps |
topic | COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory |
topic_facet | COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory |
work_keys_str_mv | AT newnhamjoshua machinelearningwithcoremlaniosdevelopersguidetoimplementingmachinelearninginmobileapps |