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Название: AI Computing Systems: An Application Driven Perspective
Автор: Yunji Chen, Ling Li, Wei Li, Qi Guo
Издательство: Morgan Kaufmann
Год: 2023
Страниц: 441
Язык: английский
Формат: pdf (true)
Размер: 12.6 MB
The first application-driven textbook for Artificial Intelligence majors featuring software and hardware full-stack penetration. 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. Artificial Intelligence (AI), particularly Deep Learning, is evolving at an incredibly fast pace and has already achieved (or even surpassed) human performance in a number of applications, including image recognition, speech recognition, natural language processing (NLP), and video games.
Автор: Yunji Chen, Ling Li, Wei Li, Qi Guo
Издательство: Morgan Kaufmann
Год: 2023
Страниц: 441
Язык: английский
Формат: pdf (true)
Размер: 12.6 MB
The first application-driven textbook for Artificial Intelligence majors featuring software and hardware full-stack penetration. 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. Artificial Intelligence (AI), particularly Deep Learning, is evolving at an incredibly fast pace and has already achieved (or even surpassed) human performance in a number of applications, including image recognition, speech recognition, natural language processing (NLP), and video games.