This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs) which comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve 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. Massachusetts Institute of Technology and Nvidia Research Excerpt of forthcoming book on Efficient Processing of Deep Neural Networks, Chapter on 'Key Metrics and Design Objectives'available here.
Vivienne Sze, Yu-Hsin Chen, and Tien-Ju Yang Our book on Efficient Processing of Deep Neural Networksis now available here.
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