Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images

Table 11

Trainable parameters in proposed models.

Model	Number of parameters retrained
	Feature extractor (M)	Fine-tuner (M)
VGG16	4.7	5.5
Xception	8.3	14.4
InceptionV3	1.1	2.3
DenseNet201	2.31	3.9