Table 13.

Statistics of number of epochs, total trainable parameters selected after the monitoring of the training process in different CNN, total running time (in seconds) and average running (in seconds) time of the proposed models on proposed three optimizer

NET	OPTIMIZER	TOTAL TRAINABLE PARAMETERS (millions)	NUMBER OF EPOCHS	Total Runtime (in Sec)	Average Runtime per epoch (in Sec)
VGG16	SGD	40	10	579	57.9
VGG16	RMSProp	40	5	312	62.4
VGG16	Adam	40	5	311	62.2
VGG19	SGD	45	10	800	80
VGG19	RMSProp	45	10	802	80.2
VGG19	Adam	45	10	812	81.2
Inception	SGD	21	30	2490	83
Inception	RMSProp	21	15	1215	81
Inception	Adam	21	40	3250	81
Xception	SGD	20	20	1631	81.55
Xception	RMSProp	20	10	1343	134.3
Xception	Adam	20	10	880	88
DenseNet	SGD	20	20	1721	86.05
DenseNet	RMSProp	20	20	1828	91.4
DenseNet	Adam	20	20	1798	89.9
Inception-ResNet-V2	SGD	64	30	2439	81.3
Inception-ResNet-V2	RMSprop	64	30	3251	108.36
Inception-ResNet-V2	Adam	64	30	2464	82.13
EfficientNet B0	SGD	4	20	1104	55.2
EfficientNet B0	RMSProp	4	10	555	55.5
EfficientNet B0	Adam	4	20	1122	56.1
EfficientNet B4	SGD	17	20	1268	63.4
EfficientNet B4	RMSProp	17	20	1279	63.95
EfficientNet B4	Adam	17	20	1228	61.4