AI Computing Systems: An Application Driven Perspective

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. Provides an in-depth analysis of the underlying principles behind the use of knowledge in intelligent computing systems Centers around application-driven and full-stack penetration, focusing on the knowledge required to complete this application at all levels of the software and hardware technology stack Supporting experimental tutorials covering key knowledge points in each chapter provide practical guidance and formalization tools for developing a simple AI computing system INDICE: 1. Introduction2. Neural Networks 3. Deep Learning 4. Fundamentals of Learning Frameworks5. Learning Framework Principles6. Theory behind Deep Learning Processors 7. Architecture for AI Computing Systems8. AI Programming Language for AI Computing Systems9. AI Computing Systems Labs

• ISBN: 978-0-323-95399-3
• Editorial: Morgan Kaufmann
• Encuadernacion: Rústica
• Páginas: 600
• Fecha Publicación: 01/02/2023
• Nº Volúmenes: 1
• Idioma: Inglés