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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 42 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Games are wonderful contained problem spaces, making them great places to explore AI—even if you’re not a game developer. Paris Buttfield-Addison (Secret Lab Pty. Ltd.), Mars Geldard (University of Tasmania), and Tim Nugent (lonely.coffee) teach you how to use Unity to train, explore, and manipulate intelligent agents that learn. You’ll train a quadruped to walk, then train it to explore, fetch, and manipulate the world. It’s a little bit technical, a little bit creative. Join Paris, Mars, and Tim to learn how to use game technologies such as Unity to further your understanding of machine learning fundamentals and solve problems. Topics include: How video game engines are a perfect environment to constrain a problem and train an agent How easy it is to get started, using Unity How to build up a model and use it in the engine to explore a particular idea or problem This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (523 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: 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
    Note: Online resource; Title from title page (viewed October 23, 2019)
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  • 3
    Orig.schr. Ausgabe: 第1版.
    Title: Swift 人工智能实战 : : 从基础理论到 AI 驱动的应用程序开发 = Practical artificial intelligence with Swift /
    Publisher: 机械工业出版社,
    ISBN: 9787111675389 , 711167538X
    Language: Chinese
    Pages: 1 online resource , illustrations
    Edition: Di 1 ban.
    Series Statement: O'Reilly jing pin tu shu xi lie
    Series Statement: Hua zhang IT
    Uniform Title: Practical artificial intelligence with Swift
    DDC: 006/.3
    Keywords: Artificial intelligence ; Machine learning ; Swift (Computer program language) ; Artificial intelligence ; Machine learning ; Swift (Computer program language) ; Electronic books
    Abstract: Detailed summary in vernacular field,
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