An Accelerated FPGA-Based Parallel CNN-LSTM Computing Device

An Accelerated FPGA-Based Parallel CNN-LSTM Computing Device

Recently, the combination of convolutional neural network (CNN) and long short-term memory (LSTM) exhibits better performance than single network architecture. Most of these studies connect LSTM networks behind CNNs. When operating on hardware, the current design of CNN-LSTM is similar to a pipeline...

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Bibliographic Details
Main Authors: Xin Zhou, Wei Xie, Han Zhou, Yongjing Cheng, Ximing Wang, Yun Ren, Shandong Yuan, Liuwen Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
CNN-LSTM
field programmable gate array (FPGA)
hardware acceleration
deep learning
Online Access:https://ieeexplore.ieee.org/document/10621060/
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https://ieeexplore.ieee.org/document/10621060/

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