Synopsis
Bring AI to the edge—where it matters most.
Edge AI with Raspberry Pi is a practical guide to running machine learning models directly on small, low-power devices like the Raspberry Pi. Whether you're building a smart camera, sensor hub, or autonomous robot, this book shows you how to deploy AI models without relying on the cloud.
Designed for developers, makers, and engineers, this hands-on guide walks you through everything from preparing your Pi for AI workloads to running trained models using tools like TensorFlow Lite, OpenCV, and Edge Impulse.
Inside, you'll learn how to:
Set up a Raspberry Pi for machine learning tasks
Use camera modules, microphones, and sensors with your AI models
Run object detection, image classification, and audio recognition locally
Optimize deep learning models for performance on edge hardware
Convert models to TensorFlow Lite, ONNX, and other efficient formats
Deploy models trained with platforms like Teachable Machine and Edge Impulse
Handle input/output, real-time inference, and low-latency processing
Build real-world applications like smart surveillance, gesture control, or voice commands
With working code examples, wiring diagrams, and deployment tips, this book helps you create intelligent IoT devices that work even without an internet connection.
If you want to explore the future of embedded AI, Edge AI with Raspberry Pi is your launchpad.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Edge AI with Raspberry Pi: Deploy Machine Learning Models on IoT Devices
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Paperback. Etat : new. Paperback. Bring AI to the edge-where it matters most.Edge AI with Raspberry Pi is a practical guide to running machine learning models directly on small, low-power devices like the Raspberry Pi. Whether you're building a smart camera, sensor hub, or autonomous robot, this book shows you how to deploy AI models without relying on the cloud.Designed for developers, makers, and engineers, this hands-on guide walks you through everything from preparing your Pi for AI workloads to running trained models using tools like TensorFlow Lite, OpenCV, and Edge Impulse.Inside, you'll learn how to: Set up a Raspberry Pi for machine learning tasksUse camera modules, microphones, and sensors with your AI modelsRun object detection, image classification, and audio recognition locallyOptimize deep learning models for performance on edge hardwareConvert models to TensorFlow Lite, ONNX, and other efficient formatsDeploy models trained with platforms like Teachable Machine and Edge ImpulseHandle input/output, real-time inference, and low-latency processingBuild real-world applications like smart surveillance, gesture control, or voice commandsWith working code examples, wiring diagrams, and deployment tips, this book helps you create intelligent IoT devices that work even without an internet connection.If you want to explore the future of embedded AI, Edge AI with Raspberry Pi is your launchpad. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798291999851
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ISBN 13 : 9798291999851
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Edge AI with Raspberry Pi: Deploy Machine Learning Models on IoT Devices
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Independently published, 2025
ISBN 13 : 9798291999851
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Paperback. Etat : new. Paperback. Bring AI to the edge-where it matters most.Edge AI with Raspberry Pi is a practical guide to running machine learning models directly on small, low-power devices like the Raspberry Pi. Whether you're building a smart camera, sensor hub, or autonomous robot, this book shows you how to deploy AI models without relying on the cloud.Designed for developers, makers, and engineers, this hands-on guide walks you through everything from preparing your Pi for AI workloads to running trained models using tools like TensorFlow Lite, OpenCV, and Edge Impulse.Inside, you'll learn how to: Set up a Raspberry Pi for machine learning tasksUse camera modules, microphones, and sensors with your AI modelsRun object detection, image classification, and audio recognition locallyOptimize deep learning models for performance on edge hardwareConvert models to TensorFlow Lite, ONNX, and other efficient formatsDeploy models trained with platforms like Teachable Machine and Edge ImpulseHandle input/output, real-time inference, and low-latency processingBuild real-world applications like smart surveillance, gesture control, or voice commandsWith working code examples, wiring diagrams, and deployment tips, this book helps you create intelligent IoT devices that work even without an internet connection.If you want to explore the future of embedded AI, Edge AI with Raspberry Pi is your launchpad. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798291999851
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