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