public void TestDeserialize()
{
var path = "D:\\2.xml";
var layerFullConnected = (LayerFullConnected)LayerFullConnected.Deserialize(path);
Assert.AreEqual(layerFullConnected.Perceptrons[0].WeightArray.Length, 5);
}
public void TestSerializer()
{
var path = "D:\\2.xml";
var layerFullConnected = new LayerFullConnected(new DataShape(5, 1), 1);
layerFullConnected.Serializer(path);
Assert.IsTrue(File.Exists(path));
}
public void CreateLayNet(TrainParameters layNetParameter)
{
LayerNet = new List <Layer>();
var inputLayer = new LayerInput(InputDataShape)
{
LayerIndex = 0
};
LayerNet.Add(inputLayer);
layNetParameter.InterLayerStructs.ToList().ForEach(a =>
{
var dataShape = LayerNet.Last().ShapeOut;
switch (a.LayerType)
{
case LayerType.FullConnectLayer:
var fullConnectedLayer = new LayerFullConnected(dataShape, a.NeureCount)
{
LayerIndex = LayerNet.Count
};
LayerNet.Add(fullConnectedLayer);
break;
case LayerType.PoolingLayer:
var poolingLayer = new LayerPooling(dataShape)
{
LayerIndex = LayerNet.Count
};
LayerNet.Add(poolingLayer);
break;
}
});
var outputLayer = new LayerOutput(LayerNet.Last().ShapeOut, OutputDataShape)
{
LayerIndex = LayerNet.Count
};
LayerNet.Add(outputLayer);
}
public void TestInitial()
{
var outputLayer = new LayerFullConnected(new DataShape(5, 1), 1);
Assert.AreNotEqual(outputLayer, null);
}
