"CAxCNN: Towards the Use of Canonic Sign Digit Based Approximation for ..."

Mohsin Riaz et al. (2020)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2020.3008256

access: open

type: Journal Article

metadata version: 2020-07-30

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/RiazHKFIAS20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/RiazHKFIAS20
Mohsin Riaz, Rehan Hafiz, Salman Abdul Khaliq, Muhammad Faisal, Hafiz Talha Iqbal, Mohsen Ali, Muhammad Shafique:
CAxCNN: Towards the Use of Canonic Sign Digit Based Approximation for Hardware-Friendly Convolutional Neural Networks. IEEE Access 8: 127014-127021 (2020)

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.