public void RestoreWeights(object savedWeights)
{
SavedWeights save = (SavedWeights)savedWeights;
hiddenLayer.IncomingWeights = save.HiddenWeights.Clone();
outputLayer.IncomingWeights = save.OutputWeights.Clone();
hiddenLayer.BiasWeights = save.HiddenBias.Clone();
outputLayer.BiasWeights = save.OutputBias.Clone();
contextLayer.Memory = save.Memory.Clone();
}
public object SaveWeights()
{
SavedWeights save = new SavedWeights();
save.HiddenWeights = hiddenLayer.IncomingWeights.Clone();
save.OutputWeights = outputLayer.IncomingWeights.Clone();
save.HiddenBias = hiddenLayer.BiasWeights.Clone();
save.OutputBias = outputLayer.BiasWeights.Clone();
save.Memory = contextLayer.Memory.Clone();
return(save);
}
public object SaveWeights()
{
SavedWeights save = new SavedWeights(weightedLayers.Count);
for (int i = 0; i < weightedLayers.Count; i++)
{
save.WeightMatrices[i] = weightedLayers[i].IncomingWeights.Clone();
if (weightedLayers[i].HasBias)
{
save.Biases[i] = weightedLayers[i].BiasWeights.Clone();
}
}
return(save);
}
public void RestoreWeights(object savedWeights)
{
SavedWeights save = (SavedWeights)savedWeights;
if (save.WeightMatrices.Length != weightedLayers.Count)
{
throw new ArgumentException("The number of saved matrices is different than the number of weight layers");
}
for (int i = 0; i < weightedLayers.Count; i++)
{
weightedLayers[i].IncomingWeights = save.WeightMatrices[i].Clone();
if (weightedLayers[i].HasBias)
{
weightedLayers[i].BiasWeights = save.Biases[i].Clone();
}
}
}
