Property group	Property Name	Description	Misc.	Note
Model File	Save Model File	Decide whether to save model file.	Required	Yes, No
Model File	Model File Path	Set the path for the model file to be saved.	Conditionally Required
Selection options	Optimization Technique	Select the Numerical Method to optimize the objective function.	Required	Gradient Descent, AdaGrad, RMSProp, ADAM
Selection options	Hidden Layer Count Configuration	Select Number of Hidden Layers.	Required	1, 3
Selection options	Feature Hidden Layer Node Count	Enter the number of nodes in the Feature hidden layer.	Required	natural number
Selection options	Feature Hidden Layer Activation Function	Feature Specifies the activation function of the hidden layer.	Required	Linear, Tanh, Sigmoid, ReLU, Leaky ReLU, ELU
Selection options	Symmetric Hidden Layer Node Count	Enter the number of nodes in the symmetric hidden layer.	Required	natural number
Selection options	Symmetric Hidden Layer Activation Function	Specifies the activation function of the symmetric hidden layer.	Required	Linear, Tanh, Sigmoid, ReLU, Leaky ReLU, ELU
Selection options	Output Layer Activation Function	Specifies the activation function of the output layer.	Required	Linear, Tanh, LogSig, ReLU, Leaky ReLU, ELU
Selection options	Run Count	Enter the maximum number of training iterations.	Required	natural number
Selection options	Final Target Error	Learning stops when the target error is reached.	Required	Real number
Selection options	Batch Size	Set the batch size.	Required	natural number
Selection options	Learning Rate	Set the Learning Rate when learning weights.	Required	Real number
Selection options	Momentum	When calculating the weight for the opposite direction of the gradient, enter the amount of reflection of the direction from the previous step.	Required	Real number
Selection options	Gamma	Specifies the Gamma value used in the RMSProp algorithm.	Required	Real number
Selection options	Beta1	Specifies the Beta1 value used in the ADAM algorithm.	Required	Real number
Selection options	Beta2	Specifies the Beta2 value used in the ADAM algorithm.	Required	Real number