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...

書誌詳細
出版年:	IEEE Access
主要な著者:	Xin Zhou, Wei Xie, Han Zhou, Yongjing Cheng, Ximing Wang, Yun Ren, Shandong Yuan, Liuwen Li
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	CNN-LSTM field programmable gate array (FPGA) hardware acceleration deep learning
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10621060/

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