Searching - TalTech Research Portal

Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networks (title)

—

—

—

—

Add criteria Advanced search filter

Clear

types of item

book ..

journal article ..

newspaper article ..

book article ..

dissertation ..

Open Access ..

Scientific publications ..

year

year of publication

Loading..

Loading..

TalTech department

Loading..

Loading..

Loading..

name of the person

Loading..

Loading..

Clear

export all inquiry results (1)
Save TXT fail

print
Open for editing with marked entries my bookmarks

display

sort
1

book article EST / book article ENG

Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networksParchekani, Bahram; Nazari, Samira; Ahmadilivani, Mohammad Hasan; Azarpeyvand, Ali; Raik, Jaan; Ghasempouri, Tara; Daneshtalab, Masoud37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 20242024 / 4 p. : ill https://doi.org/10.1109/DFT63277.2024.10753533 Conference proceedings at Scopus Article at Scopus Article at WOS

book article EST / book article ENG
Related publications 1
- Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks

Number of records 1, displaying 1 - 1