A Learning Framework for <i>n</i>-Bit Quantized Neural Networks Toward FPGAs

Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng

Open source

DOI
10.1109/tnnls.2020.2980041
Published
2021-03
Container
IEEE Transactions on Neural Networks and Learning Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

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BibTeX

@article{allodium:10.1109/tnnls.2020.2980041,
  title = {A Learning Framework for <i>n</i>-Bit Quantized Neural Networks Toward FPGAs},
  author = {Jun Chen and Liang Liu and Yong Liu and Xianfang Zeng},
  year = {2021},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  doi = {10.1109/tnnls.2020.2980041},
  url = {https://doi.org/10.1109/tnnls.2020.2980041}
}

RIS

TY  - JOUR
TI  - A Learning Framework for <i>n</i>-Bit Quantized Neural Networks Toward FPGAs
AU  - Jun Chen
AU  - Liang Liu
AU  - Yong Liu
AU  - Xianfang Zeng
PY  - 2021
JO  - IEEE Transactions on Neural Networks and Learning Systems
DO  - 10.1109/tnnls.2020.2980041
UR  - https://doi.org/10.1109/tnnls.2020.2980041
ER  -

APA

Chen, J., Liu, L., Liu, Y., & Zeng, X. (2021). A Learning Framework for <i>n</i>-Bit Quantized Neural Networks Toward FPGAs. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2020.2980041

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