[Retracted] An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease

Table 1

Hyperparameter setting of the proposed model.

Parameter	Value/type
Gradient decay factor	0.9
Squared gradient decay factor	0.99
Epsilon	1.00E-08
Initial learning rate	3.00E-04
Learning rate drop factor	0.1
Learning rate drop period	10
L2 regularization	1.00E-04
Gradient threshold	L2-norm
Maximum epochs	200
Minimum batch size	64
Validation frequency	50