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Embedded Artificial Intelligence Principles, Platforms and Practices /

This book focuses on the emerging topic of embedded artificial intelligence and provides a systematic summary of its principles, platforms, and practices. In the section on principles, it analyzes three main approaches for implementing embedded artificial intelligence: cloud computing mode, local mo...

Повний опис

Збережено в:
Бібліографічні деталі
Автор: Li, Bin (Автор)
Співавтор: SpringerLink (Online service)
Формат: Електронний ресурс eКнига
Мова:Англійська
Опубліковано: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Редагування:1st ed. 2024.
Предмети:
Artificial intelligence.
Computational intelligence.
Machine learning.
Embedded computer systems.
Robotics.
Artificial Intelligence.
Computational Intelligence.
Machine Learning.
Embedded Systems.
Онлайн доступ:https://doi.org/10.1007/978-981-97-5038-2
Теги: Додати тег
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Зміст:
  • PART I. PRINCIPLES
  • Chapter 1. Embedded Artificial Intelligence
  • Chapter 2. Principle of Embedded AI Chips
  • Chapter 3. Lightweight Neural Networks
  • Chapter 4. Compression of Deep Neural Network
  • Chapter 5. Framework for Embedded Neural Network Applications
  • Chapter 6. Lifelong Deep Learning
  • PART II. PLATFORMS
  • Chapter 7. Embedded AI Accelerator Chips
  • Chapter 8. Software Framework for Embedded Neural Networks
  • PART III. PRACTICES
  • Chapter 9. Embedded AI Development Process
  • Chapter 10. Optimizing Embedded Neural Network Models
  • Chapter 11. Examples of Embedded Neural Network Application
  • Chapter 12. Conclusion: Intelligence in Everything.

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