internal static float[] InitializeBiasWeights(uint neuronsCount, InitializerBias biasInitializer)
{
float[] _randomWeights = new float[neuronsCount];
for (int neuron = 0; neuron < neuronsCount; neuron++)
{
_randomWeights[neuron] = GetWeights(biasInitializer);
}
return(_randomWeights);
float GetWeights(InitializerBias initializer)
{
float _weight = 0;
switch (initializer)
{
case InitializerBias.Zeros:
_weight = 0F;
break;
case InitializerBias.Ones:
_weight = 1F;
break;
case InitializerBias.Random:
_weight = (float)Math.Round(_random.NextDouble(), 5);
break;
}
return(_weight);
}
}
internal NeuralLayerFactory(uint sens, uint[] neurons, bool isBiasNeurons, InitializerWeights weightsInitializer, InitializerBias biasInitializer)
{
_sensorsCount = sens;
_neurons = neurons;
_isBiasNeurons = isBiasNeurons;
_weightsInitializer = weightsInitializer;
_biasInitializer = biasInitializer;
}
public Builder SetBiasNeurons(bool isBiasNeurons, InitializerBias biasInitializer = default(InitializerBias))
{
IsBiasNeurons = isBiasNeurons;
BiasInitializer = biasInitializer;
return(this);
}
internal NeuralLayer(uint synapsesCount, uint neuronsCount, bool isBiasNeuron, InitializerWeights weightsInitializer, InitializerBias biasInitializer)
{
_SynapsesCount = synapsesCount;
_NeuronsCount = neuronsCount;
_NeuronWeights = NeuralMath.InitializeNeuronWeights(_SynapsesCount, _NeuronsCount, weightsInitializer);
if (isBiasNeuron)
{
_BiasWeights = NeuralMath.InitializeBiasWeights(neuronsCount, biasInitializer);
}
}
internal HiddenLayer(uint synapsesCount, uint neuronsCount, bool isBiasNeuron, InitializerWeights weightsInitializer, InitializerBias biasInitializer)
: base(synapsesCount, neuronsCount, isBiasNeuron, weightsInitializer, biasInitializer)
{
}
