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Publicado por John D Gauchat 1/2/2026, 2026
ISBN 10: 1777978289 ISBN 13: 9781777978280
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Añadir al carritoPaperback. Condición: new. Paperback. Learn how to harness the power of Apple Intelligence to build truly intelligent applications for iPhones, iPads, and Macs. This book is a practical, in-depth guide for developers who want to move beyond experimentation and integrate artificial intelligence into real production apps with confidence.After reading this book, you will know how to work with Apple Intelligence and Siri, integrate on-device models for fast and private intelligence, and connect to powerful external model providers such as OpenAI to bring ChatGPT-level capabilities into your applications.Artificial intelligence is already transforming how software is built and how users interact with technology. Developers who understand how to apply it effectively gain a decisive advantage. This book teaches you how to use artificial intelligence not as a gimmick, but as a practical tool to enhance functionality, automate complex workflows, and deliver intelligent experiences to your users.With this book, you will learn: How artificial neural networks workHow Apple Intelligence worksHow to implement Apple's on device models to take your applications to the next levelHow to access OpenAI models to incorporate ChatGPT level intelligence into your apps.How to train your own modelsHow to build a neural network from scratchHow to train a neural network with the MLX frameworkand more!Chapter 1RequirementsSetupChapter 2Introduction to Apple IntelligenceIntroduction to Artificial IntelligenceArtificial Neural NetworksModel ArchitecturesApple ModelsChapter 3Code CompletionCoding AssistantExternal and Local ModelsChapter 4Image PlaygroundGenmojisWriting ToolsChapter 5Local Large Language ModelsFoundation Models FrameworkChapter 6Language RecognizerTokenizer, Tagger and EmbeddingsTranslation FrameworkChapter 7Vision FrameworkImage ClassificationBarcode DetectionText RecognitionDocument RecognitionFace, Body and Hand DetectionPerson SegmentationChapter 8Speech AnalyzerVoice SynthesizerSound AnalysisChapter 9SiriChapter 10Create ML and Core MLCloudflareAccess to OpenAI GPT ModelsChapter 11How Neural Networks WorkNetwork ArchitectureNetwork Training and OptimizationForward Propagation, Backpropagation, and Gradient DescentMLX Framework This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Publicado por John D Gauchat Jan 2026, 2026
ISBN 10: 1777978289 ISBN 13: 9781777978280
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Añadir al carritoPaperback. Condición: new. Paperback. Learn how to harness the power of Apple Intelligence to build truly intelligent applications for iPhones, iPads, and Macs. This book is a practical, in-depth guide for developers who want to move beyond experimentation and integrate artificial intelligence into real production apps with confidence.After reading this book, you will know how to work with Apple Intelligence and Siri, integrate on-device models for fast and private intelligence, and connect to powerful external model providers such as OpenAI to bring ChatGPT-level capabilities into your applications.Artificial intelligence is already transforming how software is built and how users interact with technology. Developers who understand how to apply it effectively gain a decisive advantage. This book teaches you how to use artificial intelligence not as a gimmick, but as a practical tool to enhance functionality, automate complex workflows, and deliver intelligent experiences to your users.With this book, you will learn: How artificial neural networks workHow Apple Intelligence worksHow to implement Apple's on device models to take your applications to the next levelHow to access OpenAI models to incorporate ChatGPT level intelligence into your apps.How to train your own modelsHow to build a neural network from scratchHow to train a neural network with the MLX frameworkand more!Chapter 1RequirementsSetupChapter 2Introduction to Apple IntelligenceIntroduction to Artificial IntelligenceArtificial Neural NetworksModel ArchitecturesApple ModelsChapter 3Code CompletionCoding AssistantExternal and Local ModelsChapter 4Image PlaygroundGenmojisWriting ToolsChapter 5Local Large Language ModelsFoundation Models FrameworkChapter 6Language RecognizerTokenizer, Tagger and EmbeddingsTranslation FrameworkChapter 7Vision FrameworkImage ClassificationBarcode DetectionText RecognitionDocument RecognitionFace, Body and Hand DetectionPerson SegmentationChapter 8Speech AnalyzerVoice SynthesizerSound AnalysisChapter 9SiriChapter 10Create ML and Core MLCloudflareAccess to OpenAI GPT ModelsChapter 11How Neural Networks WorkNetwork ArchitectureNetwork Training and OptimizationForward Propagation, Backpropagation, and Gradient DescentMLX Framework This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Añadir al carritoPaperback. Condición: new. Paperback. Learn how to harness the power of Apple Intelligence to build truly intelligent applications for iPhones, iPads, and Macs. This book is a practical, in-depth guide for developers who want to move beyond experimentation and integrate artificial intelligence into real production apps with confidence.After reading this book, you will know how to work with Apple Intelligence and Siri, integrate on-device models for fast and private intelligence, and connect to powerful external model providers such as OpenAI to bring ChatGPT-level capabilities into your applications.Artificial intelligence is already transforming how software is built and how users interact with technology. Developers who understand how to apply it effectively gain a decisive advantage. This book teaches you how to use artificial intelligence not as a gimmick, but as a practical tool to enhance functionality, automate complex workflows, and deliver intelligent experiences to your users.With this book, you will learn: How artificial neural networks workHow Apple Intelligence worksHow to implement Apple's on device models to take your applications to the next levelHow to access OpenAI models to incorporate ChatGPT level intelligence into your apps.How to train your own modelsHow to build a neural network from scratchHow to train a neural network with the MLX frameworkand more!Chapter 1RequirementsSetupChapter 2Introduction to Apple IntelligenceIntroduction to Artificial IntelligenceArtificial Neural NetworksModel ArchitecturesApple ModelsChapter 3Code CompletionCoding AssistantExternal and Local ModelsChapter 4Image PlaygroundGenmojisWriting ToolsChapter 5Local Large Language ModelsFoundation Models FrameworkChapter 6Language RecognizerTokenizer, Tagger and EmbeddingsTranslation FrameworkChapter 7Vision FrameworkImage ClassificationBarcode DetectionText RecognitionDocument RecognitionFace, Body and Hand DetectionPerson SegmentationChapter 8Speech AnalyzerVoice SynthesizerSound AnalysisChapter 9SiriChapter 10Create ML and Core MLCloudflareAccess to OpenAI GPT ModelsChapter 11How Neural Networks WorkNetwork ArchitectureNetwork Training and OptimizationForward Propagation, Backpropagation, and Gradient DescentMLX Framework This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por John D Gauchat Jan 2026, 2026
ISBN 10: 1777978289 ISBN 13: 9781777978280
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Learn how to harness the power of Apple Intelligence to build truly intelligent applications for iPhones, iPads, and Macs. This book is a practical, in-depth guide for developers who want to move beyond experimentation and integrate artificial intelligence into real production apps with confidence.After reading this book, you will know how to work with Apple Intelligence and Siri, integrate on-device models for fast and private intelligence, and connect to powerful external model providers such as OpenAI to bring ChatGPT-level capabilities into your applications.Artificial intelligence is already transforming how software is built and how users interact with technology. Developers who understand how to apply it effectively gain a decisive advantage. This book teaches you how to use artificial intelligence not as a gimmick, but as a practical tool to enhance functionality, automate complex workflows, and deliver intelligent experiences to your users.With this book, you will learn:How artificial neural networks workHow Apple Intelligence worksHow to implement Apple's on device models to take your applications to the next levelHow to access OpenAI models to incorporate ChatGPT level intelligence into your apps.How to train your own modelsHow to build a neural network from scratchHow to train a neural network with the MLX frameworkand more!Chapter 1RequirementsSetupChapter 2Introduction to Apple IntelligenceIntroduction to Artificial IntelligenceArtificial Neural NetworksModel ArchitecturesApple ModelsChapter 3Code CompletionCoding AssistantExternal and Local ModelsChapter 4Image PlaygroundGenmojisWriting ToolsChapter 5Local Large Language ModelsFoundation Models FrameworkChapter 6Language RecognizerTokenizer, Tagger and EmbeddingsTranslation FrameworkChapter 7Vision FrameworkImage ClassificationBarcode DetectionText RecognitionDocument RecognitionFace, Body and Hand DetectionPerson SegmentationChapter 8Speech AnalyzerVoice SynthesizerSound AnalysisChapter 9SiriChapter 10Create ML and Core MLCloudflareAccess to OpenAI GPT ModelsChapter 11How Neural Networks WorkNetwork ArchitectureNetwork Training and OptimizationForward Propagation, Backpropagation, and Gradient DescentMLX FrameworkLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 474 pp. Englisch.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn how to harness the power of Apple Intelligence to build truly intelligent applications for iPhones, iPads, and Macs. This book is a practical, in-depth guide for developers who want to move beyond experimentation and integrate artificial intelligence into real production apps with confidence.After reading this book, you will know how to work with Apple Intelligence and Siri, integrate on-device models for fast and private intelligence, and connect to powerful external model providers such as OpenAI to bring ChatGPT-level capabilities into your applications.Artificial intelligence is already transforming how software is built and how users interact with technology. Developers who understand how to apply it effectively gain a decisive advantage. This book teaches you how to use artificial intelligence not as a gimmick, but as a practical tool to enhance functionality, automate complex workflows, and deliver intelligent experiences to your users.With this book, you will learn:How artificial neural networks workHow Apple Intelligence worksHow to implement Apple's on device models to take your applications to the next levelHow to access OpenAI models to incorporate ChatGPT level intelligence into your apps.How to train your own modelsHow to build a neural network from scratchHow to train a neural network with the MLX frameworkand more!Chapter 1RequirementsSetupChapter 2Introduction to Apple IntelligenceIntroduction to Artificial IntelligenceArtificial Neural NetworksModel ArchitecturesApple ModelsChapter 3Code CompletionCoding AssistantExternal and Local ModelsChapter 4Image PlaygroundGenmojisWriting ToolsChapter 5Local Large Language ModelsFoundation Models FrameworkChapter 6Language RecognizerTokenizer, Tagger and EmbeddingsTranslation FrameworkChapter 7Vision FrameworkImage ClassificationBarcode DetectionText RecognitionDocument RecognitionFace, Body and Hand DetectionPerson SegmentationChapter 8Speech AnalyzerVoice SynthesizerSound AnalysisChapter 9SiriChapter 10Create ML and Core MLCloudflareAccess to OpenAI GPT ModelsChapter 11How Neural Networks WorkNetwork ArchitectureNetwork Training and OptimizationForward Propagation, Backpropagation, and Gradient DescentMLX Framework.