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	Input Image Path Variable	Select the Input Image string-type variable that contains the source path information.	Required	variable name
Selection options	Image Color Space	Decide whether the input image is color or black and white.	Required	Color, black and white
Selection options	Network Type	Specify structure of the convolution neural network for modeling	Required	LeNet-5, AlexNet, VGGNet
Selection options	Use Initial Padding	Decide whether to apply Initial Padding to the Input Image.	Required	Yes, No
Selection options	Top Padding	Sets the initial padding size to be applied to the top of the Input Image if Use Initial Padding is Yes..	Conditionally Required	0≤Integer
Selection options	Bottom Padding	Sets the initial padding size to be applied to the Bottom of the Input Image if Use Initial Padding is Yes...	Conditionally Required	0≤Integer
Selection options	Left Padding	Sets the initial padding size to be applied to the left side of the Input Image if Use Initial Padding is Yes.	Conditionally Required	0≤Integer
Selection options	Right Padding	Sets the initial padding size to be applied to the right of the Input Image if Use Initial Padding is Yes.	Conditionally Required	0≤Integer
Selection options	Optimization Technique	Set the method of weight updates.	Required	Gradient Descent with Momentum, AdaGrad, RMSProp, ADAM
Selection options	Learning Rate	Set the degree of weight updates during the Optimization Technique.	Required	0<real number≤1
Selection options	Momentum	Set the degree to which the weight reflects the existing direction of movement if Optimizing Method is Gradient Descent with Momentum.	Conditionally Required	0<real number≤1
Selection options	Gamma	Set the rate at which previously updated weights are remembered if Optimization Technique is RMSProp.	Conditionally Required	0≤real number<1
Selection options	Beta1	Set the degree to which the weight reflects the existing direction of movement if Optimization Technique is ADAM.	Conditionally Required	0≤real number<1
Selection options	Beta2	Set the rate for remembering previously updated weights if the Optimization Technique is ADAM.	Conditionally Required	0≤real number<1
Selection options	Batch Size	Set the number of data to update at once in mini-batch gradient descent.	Required	0<integer≤k (k: number of data)
Selection options	Number of Epochs	Set the number of epochs	Required	0<integer