Table 5.

The customized EyeNet hyperparameters to diagnose the DR grades on EyePACS dataset

Optimizer	Parameters	Epochs	ACC (%)	DSC (%)	QKS
Adam	$L_r=0.01$	20	67.56	76.60	0.578
Adam	$L_r=0.01$	50	66.40	78.33	0.615
Adam	$L_r=0.01$	75	68.03	75	0.55
Adam	$L_r=0.01$	100	67.75	72	0.52
SGD	$L_r=le-3$	100	64.35	66.60	0.458
RmsProp	$L_r=le-4$	100	70.12	71.6	0.532
Adagrad	$L_r=le-4$	100	62.50	75	0.56
Adam	$L_r=0.01$	120	66.20	68.33	0.47
Adam	$L_r=0.001$	150	71.00	76.60	0.594
Adam	$L_r=0.001$	175	71.40	80	0.646
Adam	$L_r=0.0001$	50	74.50	81.60	0.681
Adam	$L_r=2\times {10}^{-4}$	50	70.70	78.30	0.621
Adam	$L_r=0.001$	100	74	83	0.704
Adam	$L_r=0.001$	150	70	75	0.58
Adam	$L_r=5\times {10}^{-5}$	200	76	83.30	0.713
Adam	$L_r=7\times {10}^{-5}$	200	78.80	83.30	0.719
Adam	$L_r=9\times {10}^{-5}$	200	79.50	85	0.745
Adam	${\beta }_1=0.2$, ${\beta }_2=0.2$, $ϵ=1e-08$, $decay=0.01$,$L_r={10}^{-4}$	200	70	73	0.55
Adam	$decay=le-6$, $L_r={10}^{-5}$	200	95.5	95	90.1
Adamax	$\beta =(0.9,0.999),ϵ=1e-08$, $L_r=0.002$	10	65.2	62	30
Adadelta	$\rho =0.9,ϵ=1e-06,L_r=0.001$	100	74	68	20
Adagrad	$ϵ=1e-10,L_r=0.001$	50	66	73	15.7