public static ushort EnCodeIConduction(IConduction conduction)
{
return(conduction switch
{
Sigmoind _ => 1,
ReLU _ => 2,
SoftReLU _ => 3,
Straight _ => 4,
SoftMax _ => 5,
_ => throw new ArgumentException(
nameof(conduction), $"this type of IConduction is not registered. {conduction}"),
});
public NeuralNetworkInitializer AddLayer(
IConduction conduction, params int[] node_counts)
{
if (layers == null)
{
throw new Exception("The layers input is not set yet.");
}
if (last_layer_input_count < 0)
{
throw new Exception("The layers are closed.");
}
if (node_counts == null || node_counts.Length == 0)
{
return(this);
}
foreach (var node_count in node_counts)
{
if (node_count < 1)
{
throw new ArgumentOutOfRangeException(nameof(node_count));
}
var synapse = Matrix <double> .Build.Random(
node_count, last_layer_input_count, distribution);
var bias = Vector <double> .Build.Random(node_count, distribution);
if (absolut_value)
{
synapse = synapse.PointwiseAbs();
bias = bias.PointwiseAbs();
}
layers.AddLast(
new Layer(conduction)
{
Synapse = synapse,
Bias = bias
});
last_layer_input_count = node_count;
}
return(this);
}
public Layer(IConduction conduction)
{
Conduction = conduction;
}
