Image Classification on MNIST (test) (Mean/Std/Max Accuracy & Loss)
97.62Mean AccuracyGEGO
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| GEGONumber of Neurons=[378, 191, 220, 106], Dropout Rate=[0, 0.1, 0, 0], Batch Size=224, Learning Rate=0.012026.01 | 97.62 | 0.16 | 97.9 | 0.0658 | |
| GEONumber of Neurons=[512, 135, 504, 220], Dropout Rate=[0.5, 0.5, 0, 0], Batch Size=32, Learning Rate=0.012026.01 | 97.46 | 0.05 | 97.6 | 0.0716 | |
| GANumber of Neurons=[356, 388, 413, 80], Dropout Rate=[0.1, 0, 0, 0], Batch Size=224, Learning Rate=0.012026.01 | 97.12 | 0.14 | 97.31 | 0.0724 |