Artículo: AMZ-B0FH9CJN3N

Edge AI with Raspberry Pi: Deploy Machine Learning Models on IoT Devices

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Kindle

Hardcover

Kindle

Paperback

Detalles del producto
Disponibilidad
Sin stock
Peso con empaque
0.20 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
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USA

Sobre este producto
  • 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.

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