public override void Initialize()
{
Log.Instance.Info("PCNN is active");
_Units = new List<LearningUnit>();
_Units.Add(new LearningIPCA_Slicing(3, 32)); // 64,64,3
_Units.Add(new LearningPool(4)); // 64,64,32
_Units.Add(new LearningNormalize()); // 16,16,32
_Units.Add(new LearningIPCA_Slicing(32, 64)); // 16,16,32
_Units.Add(new LearningPool(4)); // 16,16,64
_Units.Add(new LearningNormalize()); // 4,4,64
var dnn = new LearningDNN(4, 64, 4, 1, 64);
dnn.DropoutRate = 0.5;
dnn.DropoutPadding = 15;
_Units.Add(dnn); // 4,4,64 > 4,4,1
}
public override void Initialize()
{
Log.Instance.Info("PCNN-L4 is active");
_Units = new List<LearningUnit>();
_Units.Add(new LearningIPCA_Slicing(3, 32, 8)); // 64x,3
_Units.Add(new LearningPool(4)); // 64x,32
_Units.Add(new LearningNormalize()); // 16x,32
_Units.Add(new LearningIPCA_Slicing(32, 64, 8)); // 16x,32
_Units.Add(new LearningPool(2)); // 16x,64
_Units.Add(new LearningNormalize()); // 8x,64
_Units.Add(new LearningIPCA_Slicing(64, 128, 4)); // 8x,64
_Units.Add(new LearningNormalize()); // 8x,128
_Units.Add(new LearningIPCA_Slicing(128, 192, 4)); // 8x,128
_Units.Add(new LearningPool(2)); // 8x,192
_Units.Add(new LearningNormalize()); // 4x,192
var dnn = new LearningDNN(4, 192, 4, 1, 192); // 4x,192 > 4,4,1
dnn.DropoutRate = 0.5;
dnn.DropoutPadding = 15;
_Units.Add(dnn);
}
public override void Initialize()
{
Log.Instance.Info("PCNN-L3-D48 is active");
_Units = new List<LearningUnit>();
_Units.Add(new LearningIPCA_Slicing(3, 48, 8)); // 64x,3
_Units.Add(new LearningPool(4)); // 64x,48
_Units.Add(new LearningNormalize()); // 16x,48
_Units.Add(new LearningIPCA_Slicing(48, 96, 8)); // 16x,48
_Units.Add(new LearningPool(2)); // 16x,96
_Units.Add(new LearningNormalize()); // 8x,96
_Units.Add(new LearningIPCA_Slicing(96, 144, 4)); // 8x,96
_Units.Add(new LearningPool(2)); // 8x,144
_Units.Add(new LearningNormalize()); // 4,4,144
var dnn = new LearningDNN(4, 144, 4, 1, 144); // 4,4,144 > 4,4,1
dnn.DropoutRate = 0.5;
dnn.DropoutPadding = 15;
_Units.Add(dnn);
}