public override WeightsMatrix WeightsUpdate(WeightsMatrix gradient)
{
WeightsMatrix result = gradient.Copy();
result.Scale(-_stepSize / _batchSize);
return(result);
}
public WeightedCombiner(WeightsMatrix weights, NetworkVector biases)
: base(weights.NumberOfOutputs, weights.NumberOfInputs)
{
if (weights == null)
{
throw new ArgumentException("Attempt to make a WeightedCombineer with weights == null.");
}
if (biases == null)
{
throw new ArgumentException("Attempt to make a WeightedCombineer with biases == null.");
}
if (biases.Dimension != weights.NumberOfOutputs)
{
throw new ArgumentException("Dimension of biases must the the same of the outputs.");
}
Weights = weights.Copy();
Biases = biases.Copy();
VectorInput = new NetworkVector(weights.NumberOfInputs);
//Output = new NetworkVector(weights.NumberOfOutputs);
}
