Name
Abstract | ||
|---|---|---|
Deep neural network (DNN) has emerged as a powerful machine learning technique for various artificial intelligence applications. Due to the unique advantages on speed, area, and power, specific hardware design has become a very attractive solution for the efficient deployment of DNN. However, the huge resource cost of multipliers makes the fully-parallel implementations of multiplication-intensive... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCSII.2017.2746749 | IEEE Transactions on Circuits and Systems II: Express Briefs |
Keywords | Field | DocType |
Stochastic processes,Neural networks,Machine learning,Network topology,Optimization | Datapath,Adder,Computer science,Stochastic process,Implementation,Electronic engineering,Artificial neural network,Computer engineering,Stochastic computing,Computation,Embedded system,Applications of artificial intelligence | Journal |
Volume | Issue | ISSN |
64 | 12 | 1549-7747 |
Citations | PageRank | References |
3 | 0.42 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yi Xie | 1 | 28 | 10.97 |
| Siyu Liao | 2 | 41 | 8.73 |
| Bo Yuan | 3 | 262 | 28.64 |
| Yanzhi Wang | 4 | 1082 | 136.11 |
| Zhongfeng Wang | 5 | 216 | 54.57 |