public AbstractNeuron(int inputCount, INeuronInitilizer init, Functions.IActivationFunction function)
{
Inputs = inputCount;
Weights = new double[inputCount];
ActivationFunction = function;
Initializer = init;
Initialize();
}
public Layer(int inputsCount, int neuronsCount, Functions.IActivationFunction function, INeuronInitilizer initializer)
{
Inputs = inputsCount;
neurons = new Neuron[neuronsCount];
for (int i = 0; i < neuronsCount; ++i)
{
neurons[i] = new Neuron(inputsCount, function, initializer);
}
Output = new double[neuronsCount];
}
public Network(int inputsCount, int layersCount, List <int> neuronsCountInHiddenLayers,
Functions.IActivationFunction function, Neurons.INeuronInitilizer initializer)
{
NetworkInit(inputsCount, layersCount);
if (neuronsCountInHiddenLayers.Count != layersCount)
{
throw new ApplicationException("Number of layers and provided layer's neuron count do not match!");
}
layers[0] = new Layer(inputsCount, inputsCount, function, initializer);
for (int i = 1; i < layers.Length; i++)
{
layers[i] = new Layer(neuronsCountInHiddenLayers[i - 1], neuronsCountInHiddenLayers[i], function, initializer);
}
}
public Neuron(int inputs, Functions.IActivationFunction function, INeuronInitilizer initializer)
: base(inputs, initializer, function)
{
}
