AI at the Edge: Solving Real-World Problems with Embedded Machine Learning Situnayake Daniel
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning Situnayake Daniel Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make…
Specifikacia AI at the Edge: Solving Real-World Problems with Embedded Machine Learning Situnayake Daniel
AI at the Edge: Solving Real-World Problems with Embedded Machine Learning Situnayake Daniel
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI.
This high-level road map helps Edge AI is destined to become a standard tool for systems engineers.
With the World at Heart