Early Diagnosis of Retinal Blood Vessel Damage via Deep Learning-Powered Collective Intelligence Models

Table 3

Hyperparameter setting for TDCN-PSO search.

Category	Hyperparameter	Value
Particle swarm optimization	Number of runs ()	5
	Number of iterations ()	12
	Swarm size	20
	Cg	0.5
CNN architecture initialization	Minimum number of outputs from a Conv layer	3
	Maximum number of outputs from a Conv layer	256
	Minimum number of neurons in a FC layer	1
	Maximum number of neurons in a FC layer	300
	Minimum size of a Conv kernel
	Maximum size of a Conv kernel
	Minimum number of layers	3
	Maximum number of layers	20
	Dropout rate	0.5
Training	No. of epochs for the global best	100
	No. of epochs for particle evaluation	1
	Bath normalize layer outputs	Yes
Probability	Probability of convolutional layer	0.7
	Probability of pooling layer	0.15
	Probability of fully connected layer	0.15