Mirsalari, S. A., Nazari, N., Sinaei, S., Salehi, M. E., Daneshtalab, M.

FaCT-LSTM : fast and compact ternary architecture for LSTM recurrent neural networks

author

Mirsalari, Seyed Ahmad

Nazari, Najmeh

Sinaei, Sima

Salehi, Mostafa E.

Daneshtalab, Masoud

statement of authorship

Seyed Ahmad Mirsalari, Najmeh Nazari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab

source

IEEE design & test

publisher

IEEE

journal volume number month

vol. 39, 3

year of publication

2022

pages

p. 45-53

url

https://doi.org/10.1109/MDAT.2021.3070245

subject term

tehisnärvivõrgud

mälu (psühholoogia)

meelespidamine

kantavad seadmed

keyword

long short -term memory (LSTM)

ECG

EMG

wearable devices

quantization

ISSN

2168-2356

scientific publication

teaduspublikatsioon

classifier

1.1

TTÜ department

arvutisüsteemide instituut

language

inglise

Uurimisrühm

Centre of dependable computing systems

Mirsalari, S. A., Nazari, N., Sinaei, S., Salehi, M. E., Daneshtalab, M. FaCT-LSTM : fast and compact ternary architecture for LSTM recurrent neural networks // IEEE design & test (2022) vol. 39, 3, p. 45-53. https://doi.org/10.1109/MDAT.2021.3070245