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Viser: Practical Artificial Intelligence with Swift - From Fundamental Theory to Development of AI-Driven Apps
Practical Artificial Intelligence with Swift Vital Source e-bog
Mars Geldard, Jonathon Manning, Paris Buttfield-Addison og Tim Nugent
(2019)
Practical Artificial Intelligence with Swift
From Fundamental Theory to Development of AI-Driven Apps
Mars Geldard, Jonathon Manning, Paris Buttfield-Addison og Tim Nugent
(2019)
Sprog: Engelsk
om ca. 10 hverdage
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: O'Reilly Media, Inc (September 2019)
- Forfattere: Mars Geldard, Jonathon Manning, Paris Buttfield-Addison og Tim Nugent
- ISBN: 9781492044765
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 1. Udgave
- Paperback: 536 sider
- Udgiver: O'Reilly Media, Incorporated (November 2019)
- Forfattere: Mars Geldard, Jonathon Manning, Paris Buttfield-Addison og Tim Nugent
- ISBN: 9781492044819
Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, you'll learn how to build features that use powerful AI features to identify images, make predictions, generate content, recommend things, and more.
AI is increasingly essential for every developer--and you don't need to be a data scientist or mathematician to take advantage of it in your apps. Explore Swift-based AI and ML techniques for building applications. Learn where and how AI-driven features make sense. Inspect tools such as Apple's Python-powered Turi Create and Google's Swift for TensorFlow to train and build models.
- I: Fundamentals and Tools--Learn AI basics, our task-based approach, and discover how to build or find a dataset.
- II: Task Based AI--Build vision, audio, text, motion, and augmentation-related features; learn how to convert preexisting models.
- III: Beyond--Discover the theory behind task-based practice, explore AI and ML methods, and learn how you can build it all from scratch... if you want to