Digital Forensics Use Case for Glaucoma Detection Using Transfer Learning Based on Deep Convolutional Neural Networks

Table 3

Validation accuracy, validation loss, and training accuracy of different deep learning neural networks.

	DenseNet201	EfficientNetB7	InceptionV3	NASNetMobile	ResNet50	ResNet101V2	ResNet152	VGG16
Validation accuracy (%)	0.12	100.00	96.47	26.56	56.64	7.87	99.65	26.32
Validation loss	0.69315	0.6931	0.6931	0.6931	0.6931	0.6932	0.6931	0.6931
Training accuracy (%)	0.50	0.50	0.49	0.49	0.50	0.51	0.50	0.51