internal NeuralLayerFactory(uint sens, uint[] neurons, bool isBiasNeurons, InitializerWeights weightsInitializer, InitializerBias biasInitializer)
{
_sensorsCount = sens;
_neurons = neurons;
_isBiasNeurons = isBiasNeurons;
_weightsInitializer = weightsInitializer;
_biasInitializer = biasInitializer;
}
internal static float[][] InitializeNeuronWeights(uint synapsesCount, uint neuronsCount, InitializerWeights weightsInitializer)
{
float[][] _randomWeights = new float[synapsesCount][];
for (int synapse = 0; synapse < synapsesCount; synapse++)
{
if (_randomWeights[synapse] == null)
{
_randomWeights[synapse] = new float[neuronsCount];
}
for (int neuron = 0; neuron < neuronsCount; neuron++)
{
_randomWeights[synapse][neuron] = GetWeights(weightsInitializer);
}
}
return(_randomWeights);
float GetWeights(InitializerWeights initializer)
{
float _weight = 0;
switch (initializer)
{
case InitializerWeights.Zeros:
_weight = 0F;
break;
case InitializerWeights.Ones:
_weight = 1F;
break;
case InitializerWeights.Random:
_weight = (float)Math.Round(_random.NextDouble(), 5);
break;
case InitializerWeights.XavierUniform:
var max = Math.Sqrt(6 / (synapsesCount + neuronsCount));
var min = -1 * max;
var range = 2 * max;
_weight = (float)Math.Round(min + _random.NextDouble() * range, 5);
break;
}
return(_weight);
}
}
public Builder SetWeightsInitializer(InitializerWeights weightsInitializer)
{
WeightsInitializer = weightsInitializer;
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)
{
}
