Table 5.

Test results for all three classifications and comparison with pre-trained models

	Model 1 (Gender)		Model 2 (Age)		Model 3 (Both)
CNN Models	Accuracy (%)	Loss	Accuracy (%)	Loss	Accuracy (%)	Loss
Alexnet	78.13	0.9126	81.09	0.6631	62.73	1.8453
Googlenet	77.68	1.2609	78.59	1.0999	59.32	1.9831
Resnet18	73.12	1.2083	82.46	0.8289	66.36	1.3508
Squeezenet	72.67	1.3960	79.27	1.0946	64.55	1.7776
Proposed	80.94	0.4893	85.42	0.3785	67.94	0.8418