Regression on Burgers' dataset (train)
0MSEGGD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GGDNets=FCN_3, Structures=3,10*10,12026.02 | 0 | 74.4 | |
| AdamNets=FCN_3, Structures=3,10*10,12026.02 | 0 | — | |
| MuonNets=FCN_3, Structures=3,10*10,12026.02 | 0 | — | |
| AdamNets=FCN_2, Structures=3,4,6,4,12026.02 | 0 | — | |
| GGDNets=FCN_2, Structures=3,4,6,4,12026.02 | 0 | -1.59 | |
| MuonNets=FCN_2, Structures=3,4,6,4,12026.02 | 0 | — | |
| GGDNets=FCN_1, Structures=3,6,12026.02 | 0.0001 | 27.01 | |
| AdamNets=FCN_1, Structures=3,6,12026.02 | 0.0001 | — | |
| SGDMNets=FCN_3, Structures=3,10*10,12026.02 | 0.0004 | — | |
| MuonNets=FCN_1, Structures=3,6,12026.02 | 0.0005 | — | |
| SGDMNets=FCN_2, Structures=3,4,6,4,12026.02 | 0.0006 | — | |
| SSGDNets=FCN_3, Structures=3,10*10,12026.02 | 0.0012 | — | |
| SGDNets=FCN_3, Structures=3,10*10,12026.02 | 0.0013 | — | |
| SGDNets=FCN_2, Structures=3,4,6,4,12026.02 | 0.0015 | — | |
| SSGDNets=FCN_1, Structures=3,6,12026.02 | 0.0018 | — | |
| SGDNets=FCN_1, Structures=3,6,12026.02 | 0.0018 | — | |
| SSGDNets=FCN_2, Structures=3,4,6,4,12026.02 | 0.0023 | — | |
| SGDMNets=FCN_1, Structures=3,6,12026.02 | 0.0092 | — |