/// <inheritdoc />
public void FinalizeStructure(BasicNetwork theOwner, int theLayerIndex, TempStructureCounts counts)
{
_owner = theOwner;
_layerIndex = theLayerIndex;
var prevLayer = _layerIndex > 0 ? _owner.Layers[_layerIndex - 1] : null;
var nextLayer = _layerIndex < _owner.Layers.Count - 1 ? _owner.Layers[_layerIndex + 1] : null;
var tc = TotalCount;
counts.AddNeuronCount(tc);
if (prevLayer != null)
{
counts.AddWeightCount(Count * prevLayer.TotalCount);
}
int weightIndex, layerIndex;
if (theLayerIndex == _owner.Layers.Count - 1)
{
weightIndex = 0;
layerIndex = 0;
}
else
{
weightIndex = nextLayer.WeightIndex
+ TotalCount * nextLayer.Count;
layerIndex = nextLayer.NeuronIndex + nextLayer.TotalCount;
}
_neuronIndex = layerIndex;
_weightIndex = weightIndex;
}
/// <inheritdoc />
public void FinalizeStructure(BasicNetwork theOwner, int theLayerIndex, TempStructureCounts counts)
{
_owner = theOwner;
_layerIndex = theLayerIndex;
var prevLayer = _layerIndex > 0 ? _owner.Layers[_layerIndex - 1] : null;
var nextLayer = _layerIndex < _owner.Layers.Count - 1 ? _owner.Layers[_layerIndex + 1] : null;
var tc = TotalCount;
counts.AddNeuronCount(tc);
if (prevLayer != null)
{
counts.AddWeightCount(Count*prevLayer.TotalCount);
}
int weightIndex, layerIndex;
if (theLayerIndex == _owner.Layers.Count - 1)
{
weightIndex = 0;
layerIndex = 0;
}
else
{
weightIndex = nextLayer.WeightIndex
+ TotalCount*nextLayer.Count;
layerIndex = nextLayer.NeuronIndex + nextLayer.TotalCount;
}
_neuronIndex = layerIndex;
_weightIndex = weightIndex;
}
/// <inheritdoc />
public void finalizeStructure(BasicNetwork theOwner, int theLayerIndex, TempStructureCounts counts)
{
FinalizeStructure(theOwner, theLayerIndex, counts);
var prevLayer = LayerIndex > 0 ? Owner.Layers[LayerIndex - 1] : null;
var nextLayer = LayerIndex < Owner.Layers.Count - 1 ? Owner.Layers[LayerIndex + 1] : null;
if (prevLayer == null)
{
throw new AIFHError("Conv2DLayer must have a previous layer (cannot be used as the input layer).");
}
var inColumns = prevLayer.DimensionCounts[0];
var inRows = prevLayer.DimensionCounts[1];
_inDepth = prevLayer.DimensionCounts[2];
_outColumns = Math.Floor((double)(inColumns + Padding * 2 - FilterRows) / Stride + 1);
_outRows = Math.Floor((double)(inRows + Padding * 2 - FilterColumns) / Stride + 1);
}
/// <summary>
/// Finalize the structure of the neural network. This must be called before any training or calculation can
/// be performed. After this method is called layers can no longer be added to the neural network.
/// </summary>
public void FinalizeStructure()
{
var layerCount = _layers.Count;
_inputCount = _layers[0].Count;
_outputCount = _layers[layerCount - 1].Count;
var counts = new TempStructureCounts();
for (var i = _layers.Count - 1; i >= 0; i--)
{
var layer = _layers[i];
layer.FinalizeStructure(this, i, counts);
}
_weights = new double[counts.WeightCount];
_layerOutput = new double[counts.NeuronCount];
_layerSums = new double[counts.NeuronCount];
ClearOutput();
}
/// <summary>
/// Finalize the structure of the neural network. This must be called before any training or calculation can
/// be performed. After this method is called layers can no longer be added to the neural network.
/// </summary>
public void FinalizeStructure()
{
var layerCount = _layers.Count;
_inputCount = _layers[0].Count;
_outputCount = _layers[layerCount - 1].Count;
var counts = new TempStructureCounts();
for (var i = _layers.Count - 1; i >= 0; i--)
{
var layer = _layers[i];
layer.FinalizeStructure(this, i, counts);
}
_weights = new double[counts.WeightCount];
_layerOutput = new double[counts.NeuronCount];
_layerSums = new double[counts.NeuronCount];
ClearOutput();
}
/// <inheritdoc />
public void finalizeStructure(BasicNetwork theOwner, int theLayerIndex, TempStructureCounts counts)
{
FinalizeStructure(theOwner, theLayerIndex, counts);
var prevLayer = LayerIndex > 0 ? Owner.Layers[LayerIndex - 1] : null;
var nextLayer = LayerIndex < Owner.Layers.Count - 1 ? Owner.Layers[LayerIndex + 1] : null;
if (prevLayer == null)
{
throw new AIFHError("Conv2DLayer must have a previous layer (cannot be used as the input layer).");
}
var inColumns = prevLayer.DimensionCounts[0];
var inRows = prevLayer.DimensionCounts[1];
_inDepth = prevLayer.DimensionCounts[2];
_outColumns = Math.Floor((double) (inColumns + Padding*2 - FilterRows)/Stride + 1);
_outRows = Math.Floor((double) (inRows + Padding*2 - FilterColumns)/Stride + 1);
}
/// <inheritdoc />
public void FinalizeStructure(BasicNetwork theOwner, int theLayerIndex, TempStructureCounts counts)
{
throw new NotImplementedException();
}
/// <inheritdoc />
public void FinalizeStructure(BasicNetwork theOwner, int theLayerIndex, TempStructureCounts counts)
{
throw new NotImplementedException();
}
