Squeeze-and-Threshold Based Quantization for Low-Precision Neural Networks

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Contributors

Binyi Wu - , Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics, Infineon Technologies AG (Author)
Bernd Waschneck - , Infineon Technologies AG (Author)
Christian Mayr - , Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics (Author)

Original language	English
Title of host publication	Proceedings of the 22nd Engineering Applications of Neural Networks Conference
Editors	Lazaros Iliadis, John Macintyre, Chrisina Jayne, Elias Pimenidis
Publisher	Springer, Cham
Pages	232-243
Number of pages	12
ISBN (electronic)	978-3-030-80568-5
ISBN (print)	978-3-030-80567-8
Publication status	Published - 2021
Peer-reviewed	Yes

Series	Proceedings of the International Neural Networks Society
ISSN	2661-8141

unpaywall	10.1007/978-3-030-80568-5_20