Image Classification on MNIST (test) (Accuracy and Cross-Entropy)
0.0278Test Cross-EntropyGGD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GGDNets=CNN_2, Structures=3*(3*3)+102026.02 | 0.0278 | 99.16 | |
| GGDNets=CNN_3, Structures=3*(3*3)+128,102026.02 | 0.0283 | 99.3 | |
| AdamNets=CNN_2, Structures=3*(3*3)+102026.02 | 0.0287 | 99.14 | |
| MuonNets=CNN_3, Structures=3*(3*3)+128,102026.02 | 0.0293 | 99.07 | |
| MuonNets=CNN_2, Structures=3*(3*3)+102026.02 | 0.0311 | 99 | |
| AdamNets=CNN_3, Structures=3*(3*3)+128,102026.02 | 0.0322 | 99.2 | |
| GGDNets=CNN_1, Structures=2*(3*3)+102026.02 | 0.0344 | 99.04 | |
| MuonNets=CNN_1, Structures=2*(3*3)+102026.02 | 0.0379 | 98.71 | |
| AdamNets=CNN_1, Structures=2*(3*3)+102026.02 | 0.0397 | 98.85 | |
| SGDMNets=CNN_3, Structures=3*(3*3)+128,102026.02 | 0.0455 | 98.34 | |
| SGDMNets=CNN_1, Structures=2*(3*3)+102026.02 | 0.0487 | 98.34 | |
| SGDMNets=CNN_2, Structures=3*(3*3)+102026.02 | 0.05 | 98.48 | |
| SGDNets=CNN_1, Structures=2*(3*3)+102026.02 | 0.138 | 95.92 | |
| SGDNets=CNN_2, Structures=3*(3*3)+102026.02 | 0.17 | 95.2 | |
| SGDNets=CNN_3, Structures=3*(3*3)+128,102026.02 | 0.207 | 94.6 | |
| SSGDNets=CNN_1, Structures=2*(3*3)+102026.02 | 0.697 | 89.12 | |
| SSGDNets=CNN_2, Structures=3*(3*3)+102026.02 | 1.85 | 63.3 | |
| SSGDNets=CNN_3, Structures=3*(3*3)+128,102026.02 | 2.16 | 24.27 |