Edité par O'Reilly Media, Incorporated, 2019
ISBN 10 : 1492044814 ISBN 13 : 9781492044819
Langue: anglais
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Edité par O'Reilly Media (edition 1), 2022
ISBN 10 : 1492089923 ISBN 13 : 9781492089926
Langue: anglais
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Edité par O'Reilly Media (edition 1), 2022
ISBN 10 : 1492089923 ISBN 13 : 9781492089926
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
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Ajouter au panierPaperback. Etat : Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
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Ajouter au panierPaperback. Etat : New. 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.
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Ajouter au panierPaperback. Etat : New. Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models. That's just the beginning.With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.You'll learn how to:Design an approach for solving ML and AI problems using simulations with the Unity engineUse a game engine to synthesize images for use as training dataCreate simulation environments designed for training deep reinforcement learning and imitation learning modelsUse and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimizationTrain a variety of ML models using different approachesEnable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits.
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Vendeur : PearlPress, Camperdown, NSW, Australie
Edition originale
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Ajouter au panierSoft cover. Etat : New. 1st Edition. Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models. That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. You'll learn how to: Design an approach for solving ML and AI problems using simulations with the Unity engine Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning models Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization Train a variety of ML models using different approaches Enable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 49,15
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Ajouter au panierPaperback. Etat : New. 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.
EUR 70,39
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Ajouter au panierPaperback. Etat : New. Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models. That's just the beginning.With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.You'll learn how to:Design an approach for solving ML and AI problems using simulations with the Unity engineUse a game engine to synthesize images for use as training dataCreate simulation environments designed for training deep reinforcement learning and imitation learning modelsUse and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimizationTrain a variety of ML models using different approachesEnable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 57,40
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Ajouter au panierEtat : New. In.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 66,07
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Ajouter au panierEtat : New. pp. 526.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Edité par Oreilly & Associates Inc, 2019
ISBN 10 : 1492044814 ISBN 13 : 9781492044819
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 63,33
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Ajouter au panierPaperback. Etat : Brand New. 501 pages. 9.25x7.00x1.00 inches. In Stock.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 71,58
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Ajouter au panierEtat : New.
Edité par Oreilly & Associates Inc, 2022
ISBN 10 : 1492089923 ISBN 13 : 9781492089926
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 65,26
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Ajouter au panierPaperback. Etat : Brand New. 500 pages. 9.19x7.00x0.91 inches. In Stock.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 78,20
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Ajouter au panierEtat : New. pp. 526.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 81,18
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Ajouter au panierEtat : New. 1st edition NO-PA16APR2015-KAP.
EUR 49,77
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Ajouter au panierPaperback. Etat : New. 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.