public Layer(
Node[] nodes,
Layer[] previousLayers,
ActivationFunctionType activationFunctionType = ActivationFunctionType.RELU,
InitialisationFunctionType initialisationFunctionType = InitialisationFunctionType.HeEtAl)
{
Nodes = nodes;
PreviousLayers = previousLayers;
ActivationFunctionType = activationFunctionType;
InitialisationFunctionType = initialisationFunctionType;
}
public Layer(int nodeCount, Layer[] previousGroups, ActivationFunctionType activationFunctionType, InitialisationFunctionType initialisationFunctionType, bool addBiasWeights = true)
{
ActivationFunctionType = activationFunctionType;
InitialisationFunctionType = initialisationFunctionType;
PreviousLayers = previousGroups;
var nodes = new Node[nodeCount];
for (var i = 0; i < nodeCount; i++)
{
nodes[i] = new Node(previousGroups, addBiasWeights);
}
Nodes = nodes;
}
public static Filter1D[] Add1DConvolutionalLayer(this Layer1D[] inputs, int filterCount, int filterSize,
ActivationFunctionType activationFunction, InitialisationFunctionType initialisationFunction)
{
var filters = new Filter1D[filterCount];
for (var i = 0; i < filterCount; i++)
{
filters[i] = new Filter1D(inputs, filterSize, activationFunction, initialisationFunction);
}
return(filters);
}
public static Func <Random, int, int, double> ResolveInitialisationFunctions(InitialisationFunctionType initialisationFunctionType) =>
initialisationFunctionType switch
{
public Filter1D(Layer1D[] previousLayers, int filterSize, ActivationFunctionType activationFunctionType, InitialisationFunctionType initialisationFunctionTyp)
: base(filterSize, previousLayers, activationFunctionType, initialisationFunctionTyp)
{
var filterWeightMap = new Dictionary <Layer, Weight[]>();
foreach (var prevLayer in previousLayers)
{
var filterWeights = new Weight[filterSize];
for (var i = 0; i < filterSize; i++)
{
filterWeights[i] = new Weight(0);
}
filterWeightMap.Add(prevLayer, filterWeights);
}
var prevLayerNodesLength = previousLayers[0].Nodes.Count;
var nodes = new List <Node>();
for (var i = 0; i < prevLayerNodesLength - filterSize + 1; i++)
{
var node = new Node();
for (var j = 0; j < filterSize; j++)
{
var nodePosition = i + j;
foreach (var prevLayer in previousLayers)
{
node.Weights.Add(prevLayer.Nodes[nodePosition], filterWeightMap[prevLayer][j]);
}
}
nodes.Add(node);
}
Nodes = nodes.ToArray();
}
public Layer1D(int size, Layer[] previousGroups,
ActivationFunctionType activationFunctionType, InitialisationFunctionType initialisationFunctionType)
: base(size, previousGroups, activationFunctionType, initialisationFunctionType) =>
