private void InitializeParameters(int[] layerDimensions)
{
for (var currentLayer = 1; currentLayer < layerDimensions.Length; currentLayer++)
{
LayerWeights.Add(np.random.randn(layerDimensions[currentLayer], layerDimensions[currentLayer - 1]) * .1f);
LayerBias.Add(np.zeros(new Shape(layerDimensions[currentLayer], 1)));
}
}
public NeuralNet(int inputSize, int hiddenSize, int outputSize)
{
this.inputSize = inputSize;
this.hiddenSize = hiddenSize;
this.outputSize = outputSize;
this.L1 = new LayerWeights(inputSize, hiddenSize);
this.L2 = new LayerWeights(hiddenSize, outputSize);
}
