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This book provides a structured treatment of the key principles and techniques for enabling
efficient processing of deep neural networks (DNNs). DNNs are currently widely used for
many artificial intelligence (AI) applications, including computer vision, speech recognition,
and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the
cost of high computational complexity. Therefore, techniques that enable efficient processing
of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and
latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the
wide deployment of DNNs in AI systems.
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eetop公众号
创芯大讲堂
创芯人才网
发表于 2020-8-11 13:04:36
