Architectural Structure 1
layers =
Image put	[100 100 3]
2-D Convolution	(5, 20)
ReLU
2-D Max Pooling	(2, ‘Stride’, 2)
Fully connected	2
Softmax
Classification output	crossentripyex
Options = trainingOptions
sgdm
Execution environment	CPU
Max epochs	100
Validation data	{trainingSet, testingSet}
Validation frequency	5
Initial learn rate	1 × 10−4
Gradient threshold	1
Verbose	false
Plots	training-progress