public override VectorBatch InputGradient(VectorBatch outputgradients)
{
if (outputgradients == null || outputgradients.Dimension != NumberOfOutputs)
{
throw new ArgumentException("outputgradient may not be null and must have dimension equal to NumberOfNeurons.");
}
List <VectorBatch> inputGradientParts = new List <VectorBatch>();
foreach (VectorBatch outputGradientPart in _segment(outputgradients))
{
inputGradientParts.Add(Weights.LeftMultiplyBy(outputGradientPart));
}
return(VectorBatch.Concatenate(inputGradientParts));
}
protected override VectorBatch _run(VectorBatch inputbatch)
{
if (inputbatch.Dimension != NumberOfInputs)
{
throw new ArgumentException("Input dimension does not match this Layer.");
}
VectorInput = null;
BatchInput = inputbatch;
List <VectorBatch> outputParts = new List <VectorBatch>();
VectorBatch result;
foreach (VectorBatch inputPart in _segment(inputbatch))
{
result = Weights.TransposeAndLeftMultiplyBy(inputPart);
result.AddVectorToEachRow(Biases);
outputParts.Add(result);
}
return(VectorBatch.Concatenate(outputParts));
}
