Image Classification on CIFAR-10 10k train (test)
43.89Test AccuracySGD-Momentum
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SGD-MomentumArchitecture=MLP (3072-256-128-10), Training Epochs=20, Batch size=64, Learning rate=10−32026.05 | 43.89 | 0.742 | |
| AdamWArchitecture=MLP (3072-256-128-10), Training Epochs=20, Batch size=64, Learning rate=10−32026.05 | 43.22 | 0.17 | |
| GONOArchitecture=MLP (3072-256-128-10), Training Epochs=20, Batch size=64, Learning rate=10−32026.05 | 43.14 | 0.17 | |
| AdamArchitecture=MLP (3072-256-128-10), Training Epochs=20, Batch size=64, Learning rate=10−32026.05 | 42.75 | 0.165 |