Open Access System for Information Sharing

Login Library

 

Conference
Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network

Title
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
Authors
AHN, DAEHYUNLee, Dong-KyuTAESU, KIMKIM, JAE JOON
Date Issued
2019-05-08
Publisher
International Conference on Learning Representations
URI
https://oasis.postech.ac.kr/handle/2014.oak/103407
Article Type
Conference
Citation
International Conference on Learning Representations, 2019-05-08
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher

김재준KIM, JAE JOON
Dept. Convergence IT Engineering
Read more

Views & Downloads

Browse