"Accelerating Spike-by-Spike Neural Networks on FPGA With Hybrid Custom ..."

Yarib Nevarez et al. (2021)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2021.3085216

access: open

type: Journal Article

metadata version: 2021-06-15

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/NevarezRPO21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/NevarezRPO21
Yarib Nevarez, David Rotermund, Klaus R. Pawelzik, Alberto García Ortiz:
Accelerating Spike-by-Spike Neural Networks on FPGA With Hybrid Custom Floating-Point and Logarithmic Dot-Product Approximation. IEEE Access 9: 80603-80620 (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.