Table 3.

Evaluation of models during training and validation phases after applying RMSprop.

Models	Training records			Validation records
	Accuracy	Loss	RMSE value	Accuracy	Loss	RMSE value
VGG19	99.89	0.11	0.33	99.91	0.09	0.31
Inception V3	99.83	0.12	0.34	99.88	0.10	0.31
EfficientNet B3	99.70	0.13	0.36	99.91	0.12	0.34
ResNet152 V2	99.64	0.14	0.37	99.41	0.12	0.34
ResNet50 V2	99.63	0.13	0.36	98.13	0.16	0.40
MobileNet V2	99.26	0.23	0.47	98.95	0.19	0.43
Xception	99.17	0.31	0.55	96.26	0.29	0.53
DenseNet 169	99.61	0.13	0.36	99.50	0.11	0.33
EfficientNet B0	99.49	0.14	0.37	99.91	0.09	0.30
InceptionResNetV2	99.99	0.12	0.34	99.44	0.11	0.33