/// <summary>
/// Initializes a new instance of the <see cref="ActivationLayer"/> class.
/// </summary>
///
/// <param name="neuronsCount">Layer's neurons count.</param>
/// <param name="inputsCount">Layer's inputs count.</param>
/// <param name="function">Activation function of neurons of the layer.</param>
///
/// <remarks>The new layer is randomized (see <see cref="ActivationNeuron.Randomize"/>
/// method) after it is created.</remarks>
///
public ActivationLayer( int neuronsCount, int inputsCount, IActivationFunction function )
: base( neuronsCount, inputsCount )
{
// create each neuron
for ( int i = 0; i < neurons.Length; i++ )
neurons[i] = new ActivationNeuron( inputsCount, function );
}
/// <summary>
/// Initializes a new instance of the <see cref="ActivationLayer"/> class
/// </summary>
/// <param name="neuronsCount">Layer's neurons count</param>
/// <param name="inputsCount">Layer's inputs count</param>
/// <param name="function">Activation function of neurons of the layer</param>
///
/// <remarks>The new layet will be randomized (see <see cref="ActivationNeuron.Randomize"/>
/// method) after it is created.</remarks>
///
public ActivationLayer(int neuronsCount, int inputsCount, IActivationFunction function)
: base(neuronsCount, inputsCount)
{
// create each neuron
for (int i = 0; i < neuronsCount; i++)
{
neurons[i] = new ActivationNeuron(inputsCount, function);
}
}
/// <summary>
/// Initializes a new instance of the <see cref="ActivationMaximization"/> class.
/// </summary>
///
/// <param name="neuron">The neuron to be visualized.</param>
///
public ActivationMaximization(ActivationNeuron neuron)
{
this.neuron = neuron;
}
