public Connection(Layer previousLayer, Layer nextLayer, WeightMatrix weightMatrix, Bias bias, double learningRate, int activationMethod)
{
_activationMethod = activationMethod;
_learningRate = learningRate;
PrevLayer = previousLayer;
NextLayer = nextLayer;
Weights = weightMatrix;
Biases = bias;
_deltaWeights = new WeightMatrix(nextLayer.Values.Length, previousLayer.Values.Length);
_deltaBias = new Bias(nextLayer.Values.Length);
}
private void SetUpConnections(Connection[] connectionsArray, double learningRate, int activationMethod)
{
for (int i = 1; i < noOfLayers; i++)
{
var weights = new WeightMatrix(MyLayers[i].Values.Length, MyLayers[i - 1].Values.Length);
var bias = new Bias(MyLayers[i].Values.Length);
string weightsFilePath = directoryName + @"Weights\" + $"{name}_Weights_{i - 1}_{i}.csv";
string biasesFilePath = directoryName + @"Biases\" + $"{name}_Biases_{i - 1}_{i}.csv";
weights.Randomise();
bias.Randomise();
if (File.Exists(weightsFilePath))
{
weights.Populate(CsvHandler.GetWeights(weightsFilePath));
}
if (File.Exists(biasesFilePath))
{
bias.Populate(CsvHandler.GetBias(biasesFilePath));
}
connectionsArray[i - 1] = new Connection(MyLayers[i - 1], MyLayers[i], weights, bias, learningRate, activationMethod);
}
}