Machine Learning on Commodity Tiny Devices: Theory and Practice

ISBN-13: 9781032374239 / Angielski / Twarda / 2022 / 256 str.

Qihua Zhou

Opis

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.

Spis treści

1. Introduction  2. Fundamentals: On-device Learning Paradigm  3. Preliminary: Theories and Algorithms  4. Model-level Design: Computation Acceleration and Communication Saving  5. Hardware-level Design: Neural Engines and Tensor Accelerators  6. Infrastructure-level Design: Serverless and Decentralized Machine Learning  7. System-level Design: from Standalone to Clusters  8. Application: Image-based Visual Perception  9. Application: Video-based Real-time Processing 10. Application: Privacy, Security, Robustness and Trustworthiness in Edge AI