void ComputeWeightGradients(int layer, float[] learningExampleInput, INeuralNetAccessor outputGradient)
{
int numberOfNodes = neuralNetAccessor.NodesInLayer(layer);
int numberOfWeights = neuralNetAccessor.WeightsOfNodeInLayer(layer);
for (int node = 0; node < numberOfNodes; node++)
{
for (int weight = 0; weight < numberOfWeights; weight++)
{
float a;
if (layer == 0)
{
a = learningExampleInput[weight];
}
else
{
a = activations[layer - 1][weight];
}
outputGradient.WeightAccessor[layer, node, weight] = a * outputGradient.BiasAccessor[layer, node];
}
}
}
public int WeightsOfNodeInLayer(int layer)
{
return(neuralNetAccessor.WeightsOfNodeInLayer(layer));
}
