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Image Classification on MNIST (test) (Accuracy and Cross-Entropy)

0.0278Test Cross-EntropyGGD
-0.0574880.5182061.09391.669594Feb 28, 2026

Evaluation results

MethodLinks
GGDNets=CNN_2, Structures=3*(3*3)+102026.020.027899.16
GGDNets=CNN_3, Structures=3*(3*3)+128,102026.020.028399.3
AdamNets=CNN_2, Structures=3*(3*3)+102026.020.028799.14
MuonNets=CNN_3, Structures=3*(3*3)+128,102026.020.029399.07
MuonNets=CNN_2, Structures=3*(3*3)+102026.020.031199
AdamNets=CNN_3, Structures=3*(3*3)+128,102026.020.032299.2
GGDNets=CNN_1, Structures=2*(3*3)+102026.020.034499.04
MuonNets=CNN_1, Structures=2*(3*3)+102026.020.037998.71
AdamNets=CNN_1, Structures=2*(3*3)+102026.020.039798.85
SGDMNets=CNN_3, Structures=3*(3*3)+128,102026.020.045598.34
SGDMNets=CNN_1, Structures=2*(3*3)+102026.020.048798.34
SGDMNets=CNN_2, Structures=3*(3*3)+102026.020.0598.48
SGDNets=CNN_1, Structures=2*(3*3)+102026.020.13895.92
SGDNets=CNN_2, Structures=3*(3*3)+102026.020.1795.2
SGDNets=CNN_3, Structures=3*(3*3)+128,102026.020.20794.6
SSGDNets=CNN_1, Structures=2*(3*3)+102026.020.69789.12
SSGDNets=CNN_2, Structures=3*(3*3)+102026.021.8563.3
SSGDNets=CNN_3, Structures=3*(3*3)+128,102026.022.1624.27