An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks

An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks

Deep Neural Networks (DNNs) are nowadays a common practice in most of the Artificial Intelligence (AI) applications. Their ability to go beyond human precision has made these networks a milestone in the history of AI. However, while on the one hand they present cutting edge performance, on the other...

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Bibliographic Details
Main Authors: Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Muhammad Shafique, Guido Masera, Maurizio Martina
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Future Internet
Subjects:
machine learning
artificial intelligence
AI
deep learning
deep neural networks
DNNs
Online Access:https://www.mdpi.com/1999-5903/12/7/113

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https://www.mdpi.com/1999-5903/12/7/113

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