Machine Learning with Core ML: An iOS developer's guide to implementing machine learning in mobile apps

· Packt Publishing Ltd
2 шүүмж
Электрон ном
378
Хуудас
Хэрэгсэл

Энэ электрон номын тухай

Leverage the power of Apple\'s Core ML to create smart iOS appsKey Features
  • [*] Explore the concepts of machine learning and Apple’s Core ML APIs
  • [*] Use Core ML to understand and transform images and videos
  • [*] Exploit the power of using CNN and RNN in iOS applications
Book DescriptionCore 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 APIs What you will learn
  • Understand components of an ML project using algorithms, problems, and data
  • Master Core ML by obtaining and importing machine learning model, and generate classes
  • Prepare data for machine learning model and interpret results for optimized solutions
  • Create and optimize custom layers for unsupported layers
  • Apply CoreML to image and video data using CNN
  • Learn the qualities of RNN to recognize sketches, and augment drawing
  • Use Core ML transfer learning to execute style transfer on images
Who this book is for

Machine 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.

Leverage the power of Apple\'s Core ML to create smart iOS appsKey Features [*] Explore the concepts of machine learning and Apple’s Core ML APIs [*] Use Core ML to understand and transform images and videos [*] Exploit the power of using CNN and RNN in iOS applications Book DescriptionCore ML is...

Бусад номтой танилцах

Үнэлгээ, сэтгэгдэл

2 шүүмж

Зохиогчийн тухай

Joshua Newnham is a technology lead at a global design firm, Method, focusing on the intersection of design and artificial intelligence (AI), specifically in the areas of computational design and human computer interaction. Prior to this, he was a technical director at Masters of Pie, a virtual reality (VR) and augmented reality (AR) studio focused on building collaborative tools for engineers and creatives.

Joshua Newnham is a technology lead at a global design firm, Method, focusing on the intersection of design and artificial intelligence (AI), specifically in the areas of computational design and human computer interaction. Prior to this, he was a technical director at Masters of Pie, a virtual r...

Энэ электрон номыг үнэлэх

Санал бодлоо хэлнэ үү.

Унших мэдээлэл

Ухаалаг утас болон таблет
Андройд болон iPad/iPhone-д Google Ном Унших аппыг суулгана уу. Үүнийг таны бүртгэлд автоматаар синк хийх бөгөөд та хүссэн газраасаа онлайн эсвэл офлайнаар унших боломжтой.
Зөөврийн болон ердийн компьютер
Та компьютерийн веб хөтчөөр Google Play-с авсан аудио номыг сонсох боломжтой.
eReaders болон бусад төхөөрөмжүүд
Kobo Цахим ном уншигч гэх мэт e-ink төхөөрөмжүүд дээр уншихын тулд та файлыг татаад төхөөрөмж рүүгээ дамжуулах шаардлагатай болно. Файлуудаа дэмжигддэг Цахим ном уншигч руу шилжүүлэхийн тулд Тусламжийн төвийн дэлгэрэнгүй зааварчилгааг дагана уу.