Classification of pediatric video capsule endoscopy images for small bowel abnormalities using deep learning models

Table 2 The hyperparameter values of the deep learning models

Type of hyper-parameter	DenseNet121	VGG16	ResNet50	ViT
Number of epochs	100	100	100	300
Batch size	32	32	32	16
Learning rate	1 × 10-3	1 × 10-3	1 × 10-3	6 × 10-3
Weight decay	4 × 10-4	4 × 10-4	4 × 10-4	4 × 10-4
momentum	0.8	0.8	0.8	0.8
Optimizer	SGD	SGD	SGD	SGD

VGG: Visual geometry group; ViT: Vision transformer; SGD: Stochastic gradient descent.