Name: Efficient Processing of Deep Neural Networks (en Inglés)
Price: 91890.00 CLP
Availability: InStock
Author: Sze, Vivienne ; Chen, Yu-Hsin ; Yang, Tien-Ju
ISBN: 9783031006388

portada Efficient Processing of Deep Neural Networks (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

254

Encuadernación

Tapa Blanda

Dimensiones

23.5 x 19.1 x 1.9 cm

Peso

0.61 kg.

ISBN13

9783031006388

Categorías

Electrónica: circuitos y componentes
Arquitectura y diseño lógico de ordenadores
Redes neuronales y sistemas difusos

Efficient Processing of Deep Neural Networks (en Inglés)

Vivienne Sze (Autor) · Yu-Hsin Chen (Autor) · Tien-Ju Yang (Autor) · Springer · Tapa Blanda

Libro Físico

$ 91.890

$ 183.780

Ahorras: $ 91.890

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Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Efficient Processing of Deep Neural Networks (en Inglés)"

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. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.