Nelly Elsayed, Zag ElSayed, Anthony S. Maida. LiteLSTM Architecture for Deep Recurrent Neural Networks. In IEEE International Symposium on Circuits and Systems, ISCAS 2022, Austin, TX, USA, May 27 - June 1, 2022. pages 1304-1308, IEEE, 2022. [doi]
@inproceedings{ElsayedEM22,
title = {LiteLSTM Architecture for Deep Recurrent Neural Networks},
author = {Nelly Elsayed and Zag ElSayed and Anthony S. Maida},
year = {2022},
doi = {10.1109/ISCAS48785.2022.9937585},
url = {https://doi.org/10.1109/ISCAS48785.2022.9937585},
researchr = {https://researchr.org/publication/ElsayedEM22},
cites = {0},
citedby = {0},
pages = {1304-1308},
booktitle = {IEEE International Symposium on Circuits and Systems, ISCAS 2022, Austin, TX, USA, May 27 - June 1, 2022},
publisher = {IEEE},
isbn = {978-1-6654-8485-5},
}