Digit Classification on MNIST (train)
0.028Cross-Entropy LossLySep-CNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LySep-CNNL1=3, C=42026.04 | 0.028 | 99.83 | |
| LySep-CNNL1=2, C=42026.04 | 0.0292 | 99.8 | |
| LySep-CNNL1=4, C=42026.04 | 0.0509 | 99.68 | |
| LySep-CNNL1=2, C=22026.04 | 0.0867 | 99.32 | |
| LySep-CNNL1=3, C=22026.04 | 0.0881 | 99.15 | |
| LySep-CNNL1=4, C=22026.04 | 0.0982 | 98.91 | |
| CE-CNNL1=4, C=42026.04 | 0.143 | 95.97 | |
| CE-CNNL1=3, C=42026.04 | 0.164 | 95.37 | |
| CE-CNNL1=2, C=42026.04 | 0.196 | 94.42 | |
| LySep-CNNL1=3, C=12026.04 | 0.202 | 95.28 | |
| CE-CNNL1=4, C=22026.04 | 0.209 | 94.08 | |
| LySep-CNNL1=2, C=12026.04 | 0.215 | 94.39 | |
| CE-CNNL1=3, C=22026.04 | 0.218 | 93.51 | |
| LySep-CNNL1=4, C=12026.04 | 0.232 | 94.08 | |
| CE-CNNL1=2, C=22026.04 | 0.26 | 92.39 | |
| CE-CNNL1=4, C=12026.04 | 0.279 | 91.7 | |
| CE-CNNL1=3, C=12026.04 | 0.304 | 90.77 | |
| CE-CNNL1=2, C=12026.04 | 0.324 | 90.52 |