AI Computing Systems
An Application Driven Perspective

The first application-driven textbook for artificial intelligence majors featuring software and hardware full-stack penetration

Yunji Chen (Author), Ling Li (Author), Wei Li (Author), Qi Guo (Author), Zidong Du (Author), Zichen Xu (Author)

9780323953993

Paperback / softback, published 2 February 2023

600 pages
23.5 x 19 x 3.7 cm, 0.91 kg

AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time.

1. Introduction
2. Neural Networks
3. Deep Learning
4. Fundamentals of Learning Frameworks
5. Learning Framework Principles
6. Theory behind Deep Learning Processors
7. Architecture for AI Computing Systems
8. AI Programming Language for AI Computing Systems
9. AI Computing Systems Labs

Subject Areas: Expert systems / knowledge-based systems [UYQE], Artificial intelligence [UYQ]