Chapters cover the theoretical fundamentals of AI and deep learning, the state of the industry, including the current state of Neural Network Processors, deep learning frameworks, and a deep learning compilation framework, the hardware architecture of the Ascend AI processor, programming methods and practices for developing the processor, and finally, detailed case studies on data and algorithms for AI.
Chapters cover the theoretical fundamentals of AI and deep learning, the state of the industry, including the current state of Neural Network Processors, deep learning frameworks, and a deep learning compilation framework, the hardware architecture of the Ascend AI processor, programming methods and practices for developing the processor, and finally, detailed case studies on data and algorithms for AI.
![Ascend AI Processor Architecture and Programming: Principles and Applications of CANN](http://vs-images.bn-web.com/static/redesign/srcs/images/grey-box.png?v11.11.3)
Ascend AI Processor Architecture and Programming: Principles and Applications of CANN
308![Ascend AI Processor Architecture and Programming: Principles and Applications of CANN](http://vs-images.bn-web.com/static/redesign/srcs/images/grey-box.png?v11.11.3)
Ascend AI Processor Architecture and Programming: Principles and Applications of CANN
308Product Details
ISBN-13: | 9780128234884 |
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Publisher: | Elsevier Science |
Publication date: | 07/27/2020 |
Pages: | 308 |
Product dimensions: | 7.50(w) x 9.25(h) x (d) |