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