Table 3.

The test accuracies of the VGG-16 and 19 trained by the six HyAdamC models. The first and second best results are highlighted in red and orange, respectively.

	VGG-16		VGG-19
Models	Batch 64	Batch 128	Batch 64	Batch 128
HyAdamC-v1	0.894	0.902	0.885	0.900
HyAdamC-v2	0.894	0.894	0.887	0.885
HyAdamC-v3	0.894	0.900	0.886	0.899
HyAdamC-v4	0.888	0.906	0.881	0.894
HyAdamC-v5	0.899	0.900	0.890	0.899
HyAdamC-v6	0.887	0.899	0.889	0.896