"Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural ..."

Katie Spoon et al. (2021)

> Home

Details and statistics

DOI: 10.3389/FNCOM.2021.675741

access: open

type: Journal Article

metadata version: 2025-05-14

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/ficn/SpoonTCRAMFFNSB21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ficn/SpoonTCRAMFFNSB21
Katie Spoon, Hsinyu Tsai, An Chen, Malte J. Rasch, Stefano Ambrogio, Charles Mackin, Andrea Fasoli, Alexander M. Friz, Pritish Narayanan, Milos Stanisavljevic, Geoffrey W. Burr:
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices. Frontiers Comput. Neurosci. 15: 675741 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.