public List <double> GetWeigths(int neuronIndex, out LSTMCell.LSTMWeigths lstmWeigths, out double recurrent)
{
lstmWeigths = null;
recurrent = double.NaN;
List <double> output;
int arrayIndex = NeuronsInfo[neuronIndex].ArrayIndex;
switch (NeuronsInfo[neuronIndex].neuronType)
{
case NeuronTypes.feedForward:
output = Neurons[arrayIndex].Weigths;
break;
case NeuronTypes.lSTM:
output = LSTMCells[arrayIndex].Weigths;
lstmWeigths = LSTMCells[arrayIndex].recurrent;
break;
case NeuronTypes.recurrent:
output = RecurrentNeurons[arrayIndex].Weigths;
recurrent = RecurrentNeurons[arrayIndex].recurrentWeigth;
break;
default:
throw new NotImplementedException();
}
return(output);
}
internal NeuronValues(NeuronTypes NeuronType, List <double> weigths, LSTMCell.LSTMWeigths lstmWeigths, double recurrentWeigth)
{
this.NeuronType = NeuronType;
this.weigths = weigths;
this.lstmWeigths = lstmWeigths;
this.recurrentWeigth = recurrentWeigth;
}
/// <summary>
/// Generate random weigths
/// </summary>
public NeuronValues(int previousLayerLenght, NeuronTypes neuronType)
{
weigths = GenerateRandomWeigths(previousLayerLenght);
switch (neuronType)
{
case NeuronTypes.feedForward:
break;
case NeuronTypes.lSTM:
lstmWeigths = new LSTMCell.LSTMWeigths(previousLayerLenght);
break;
case NeuronTypes.recurrent:
recurrentWeigth = GenerateRandomWeigth();
break;
default:
throw new NotImplementedException();
}
}
internal NeuronValues(NeuronTypes neuronTypes)
{
this.NeuronType = neuronTypes;
weigths = new List <double>();
lstmWeigths = new LSTMCell.LSTMWeigths();
}
