Machine Learning on Commodity Tiny Devices is popular PDF and ePub book, written by Song Guo in 2022-11-24, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning on Commodity Tiny Devices can be Read Online from any device for your convenience.
Machine Learning on Commodity Tiny Devices Book PDF Summary
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and hardware-level instruction acceleration. Analyzing the limitations of conventional in-cloud computing would reveal that on-device learning is a promising research direction to meet the requirements of edge intelligence applications. As to the cutting-edge research of TinyML, implementing a high-efficiency learning framework and enabling system-level acceleration is one of the most fundamental issues. This book presents a comprehensive discussion of the latest research progress and provides system-level insights on designing TinyML frameworks, including neural network design, training algorithm optimization and domain-specific hardware acceleration. It identifies the main challenges when deploying TinyML tasks in the real world and guides the researchers to deploy a reliable learning system. This volume will be of interest to students and scholars in the field of edge intelligence, especially to those with sufficient professional Edge AI skills. It will also be an excellent guide for researchers to implement high-performance TinyML systems.
Detail Book of Machine Learning on Commodity Tiny Devices PDF
- Author : Song Guo
- Release : 24 November 2022
- Publisher : CRC Press
- ISBN : 9781000780352
- Genre : Computers
- Total Page : 268 pages
- Language : English
- PDF File Size : 20,8 Mb
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