Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"A Tri-State Weight Convolutional Neural Network for an FPGA: Applied to ..."

Hiroki Nakahara, Masayuki Shimoda, Shimpei Sato (2018)

> Home

Details and statistics

DOI: 10.1109/FPT.2018.00058

access: closed

type: Conference or Workshop Paper

metadata version: 2019-06-27

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/fpt/NakaharaSS18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/fpt/NakaharaSS18
Hiroki Nakahara, Masayuki Shimoda, Shimpei Sato:
A Tri-State Weight Convolutional Neural Network for an FPGA: Applied to YOLOv2 Object Detector. FPT 2018: 298-301

a service of

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.