Table 2.

Accuracy Assessment.

Architecture	Optimizers
	RMSProp		Adam
	LR = 0.0001	LR = 0.0004	LR = 0.0001	LR = 0.0004
VGG-16	63.47	62.38	67.38	66.34
ResNet 50	85.12	75.29	65.12	80.59
Inception V3	69.14	72.14	67.33	70.30
EfficientNet	70.09	67.36	74.29	68.23
Transfer Learning on CNN	90.45	87.12	82.45	80.12