Hardware architecture of bidirectional long short-term memory neural network for optical character recognition
V. Rybalkin, N. Wehn, M. Yousefi, and D. Stricker. Proceedings of the Conference on Design, Automation & Test in Europe, page 1394--1399. European Design and Automation Association, (2017)
%0 Conference Paper
%1 RybWeh17Hardware
%A Rybalkin, Vladimir
%A Wehn, Norbert
%A Yousefi, Mohammad Reza
%A Stricker, Didier
%B Proceedings of the Conference on Design, Automation & Test in Europe
%D 2017
%K FPGA LSTM RNN architecture compression deep_learning
%P 1394--1399
%T Hardware architecture of bidirectional long short-term memory neural network for optical character recognition
%U https://ieeexplore.ieee.org/document/7927210/
@inproceedings{RybWeh17Hardware,
added-at = {2018-07-01T08:56:28.000+0200},
author = {Rybalkin, Vladimir and Wehn, Norbert and Yousefi, Mohammad Reza and Stricker, Didier},
biburl = {https://www.bibsonomy.org/bibtex/222435b6e80f8ae8663837e63c7aba1eb/loroch},
booktitle = {Proceedings of the Conference on Design, Automation \& Test in Europe},
interhash = {19352207ded001dcc98c4f6f290eba1d},
intrahash = {22435b6e80f8ae8663837e63c7aba1eb},
keywords = {FPGA LSTM RNN architecture compression deep_learning},
organization = {European Design and Automation Association},
pages = {1394--1399},
timestamp = {2018-07-01T09:00:14.000+0200},
title = {Hardware architecture of bidirectional long short-term memory neural network for optical character recognition},
url = {https://ieeexplore.ieee.org/document/7927210/},
year = 2017
}