Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey

Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey

In the modern-day era of technology, a paradigm shift has been witnessed in the areas involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). Specifically, Deep Neural Networks (DNNs) have emerged as a popular field of interest in most AI applications s...

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Bibliographic Details
Main Authors: Pudi Dhilleswararao, Srinivas Boppu, M. Sabarimalai Manikandan, Linga Reddy Cenkeramaddi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Machine learning
field programmable gate array (FPGA)
deep neural networks (DNN)
deep learning (DL)
application specific integrated circuits (ASIC)
artificial intelligence (AI)
Online Access:https://ieeexplore.ieee.org/document/9988986/

Internet

https://ieeexplore.ieee.org/document/9988986/

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