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{ "item_title" : "Edge AI for Everyone", "item_author" : [" Amara Hawthorn "], "item_description" : "Whether you're a hobbyist, developer, or tech enthusiast, Edge AI for Everyone is your ultimate project-based guide to building smart applications that run directly on your devices-no internet, no cloud, no expensive infrastructure.From mobile phones and Raspberry Pi to microcontrollers and edge accelerators, this book walks you step-by-step through deploying neural networks where data is generated: at the edge. Learn how to build efficient, private, and low-latency AI systems using real-world tools like TensorFlow Lite, ONNX, and PyTorch Mobile.Inside, You'll Learn How To:Build and deploy AI models on mobile devices (Android & iOS)Use Raspberry Pi to run vision and speech recognition models offlineQuantize, optimize, and compress models for edge performanceIntegrate Edge AI into real-time applications - robotics, IoT, and moreEnhance privacy and reduce latency by avoiding the cloudWhether you're aiming to create a smart doorbell, offline assistant, or intelligent sensor system, this book gives you the hands-on knowledge to make it happen-without needing a data center or cloud subscription.Why This Book?Because the future of AI isn't in the cloud-it's in your pocket, on your desk, and at the edge.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/829/657/9798296572295_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Edge AI for Everyone|Amara Hawthorn

Edge AI for Everyone : AI at the Device Level: Deploy neural networks on phones, Raspberry Pi, and edge devices - no cloud required

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Overview

Whether you're a hobbyist, developer, or tech enthusiast, Edge AI for Everyone is your ultimate project-based guide to building smart applications that run directly on your devices-no internet, no cloud, no expensive infrastructure.

From mobile phones and Raspberry Pi to microcontrollers and edge accelerators, this book walks you step-by-step through deploying neural networks where data is generated: at the edge. Learn how to build efficient, private, and low-latency AI systems using real-world tools like TensorFlow Lite, ONNX, and PyTorch Mobile.

Inside, You'll Learn How To:
  • Build and deploy AI models on mobile devices (Android & iOS)

  • Use Raspberry Pi to run vision and speech recognition models offline

  • Quantize, optimize, and compress models for edge performance

  • Integrate Edge AI into real-time applications - robotics, IoT, and more

  • Enhance privacy and reduce latency by avoiding the cloud

Whether you're aiming to create a smart doorbell, offline assistant, or intelligent sensor system, this book gives you the hands-on knowledge to make it happen-without needing a data center or cloud subscription.

Why This Book?

Because the future of AI isn't in the cloud-it's in your pocket, on your desk, and at the edge.

This item is Non-Returnable

Details

  • ISBN-13: 9798296572295
  • ISBN-10: 9798296572295
  • Publisher: Independently Published
  • Publish Date: August 2025
  • Dimensions: 9 x 6 x 0.42 inches
  • Shipping Weight: 0.59 pounds
  • Page Count: 196

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