Recurrent Neural Networks: An Embedded Computing Perspective

Recurrent Neural Networks: An Embedded Computing Perspective

Recurrent Neural Networks (RNNs) are a class of machine learning algorithms used for applications with time-series and sequential data. Recently, there has been a strong interest in executing RNNs on embedded devices. However, difficulties have arisen because RNN requires high computational capabili...

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Bibliographic Details
Main Authors: Nesma M. Rezk, Madhura Purnaprajna, Tomas Nordstrom, Zain Ul-Abdin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Compression
flexibility
efficiency
embedded computing
long short term memory (LSTM)
quantization
Online Access:https://ieeexplore.ieee.org/document/9044359/

Internet

https://ieeexplore.ieee.org/document/9044359/

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