Practical Artificial Intelligence with Swift: From Fundamental Theory to Development of AI‐Driven Apps - KaedenHanson/KaedenHansonbook GitHub Wiki

 

Practical Artificial Intelligence with Swift: From Fundamental Theory to Development of AI-Driven Apps



Practical Artificial Intelligence with Swift: From Fundamental Theory to Development of AI-Driven Apps






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, you8217ll 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 developer8212and you don8217t 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 Apple8217s Python-powered Turi Create and Google8217s Swift for TensorFlow to train and build models.I: Fundamentals and Tools8212Learn AI basics, our task-based approach, and discover how to build or find a dataset.II: Task Based AI8212Build vision, audio, text, motion, and augmentation-related features learn how to convert preexisting models.III: Beyond8212Discover 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

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