Table 3.

Classification accuracy using different transfer learning architectures for different epochs.

Architectures	Epoch = 25	Epoch = 50	Epoch = 90
AlexNet	98.14	98.55	98.22
GoogleNet	95.69	97.16	97.24
VGG-16	98.06	98.14	98.71
VGG-19	97.97	98.55	98.47
ResNet-18	96.01	97.86	97.81
ResNet-50	96.67	97.65	96.16
ResNet-101	96.67	96.83	95.99
ResNet-inception-v2	93.67	95.03	95.50
SENet	56.66	56.66	95.18