Name
Abstract | ||
|---|---|---|
Deep learning has received considerable empirical success in recent years. However, while many ad hoc tricks have been discovered by practitioners, until recently, there has been a lack of theoretical understanding for tricks invented in the deep learning literature. Known by practitioners that overparameterized neural networks (NNs) are easy to learn, in the past few years, there have been import... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JPROC.2020.3048020 | Proceedings of the IEEE |
Keywords | DocType | Volume |
Artificial neural networks,Kernel,Mathematical model,Training,Radio frequency,Optimization,Linear programming | Journal | 109 |
Issue | ISSN | Citations |
5 | 0018-9219 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cong Fang | 1 | 17 | 7.14 |
| Hanze Dong | 2 | 0 | 2.03 |
| Zhang, Tong | 3 | 7126 | 611.43 |