"FPGA-based accelerator for losslessly quantized convolutional neural networks."

Mankit Sit, Ryosuke Kazami, Hideharu Amano (2017)

> Home

Details and statistics

DOI: 10.1109/FPT.2017.8280164

access: closed

type: Conference or Workshop Paper

metadata version: 2020-02-17

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/fpt/SitKA17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/fpt/SitKA17
Mankit Sit, Ryosuke Kazami, Hideharu Amano:
FPGA-based accelerator for losslessly quantized convolutional neural networks. FPT 2017: 295-298

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.