public ActivationForwardLayer(
ActivatorType type,
MessageShape inputMessageShape)
: base(inputMessageShape, inputMessageShape)
{
Activator = ActivatorFactory.Produce(type);
}
public void AddFullyConnectedLayer(int numberOfNeurons, ActivatorType activatorType, LearningRateAnnealerType lrat)
{
if (!_layers.OfType <FullyConnectedLayer>().Any())
{
var last = _layers.OfType <FilterLayer>().Last();
var fm = last.GetOutputFilterMeta();
_layers.Add(new FlattenLayer(fm.Channels, fm.Size, last.LayerIndex + 1));
}
_layers.Add(new FullyConnectedLayer(
ActivatorFactory.Produce(activatorType),
numberOfNeurons,
_layers.Last().GetNumberOfOutputValues(),
_layers.Last().LayerIndex + 1,
_weightInitializer,
lrat));
}
public void AddDetectorLayer(ActivatorType activatorType)
{
if (_layers.Any())
{
_layers.Add(new DetectorLayer(
_layers.Last().LayerIndex + 1,
ActivatorFactory.Produce(activatorType),
_layers.OfType <FilterLayer>().Last().GetOutputFilterMeta()));
}
else
{
_layers.Add(new DetectorLayer(
1,
ActivatorFactory.Produce(activatorType),
new FilterMeta(_networkConfig.InputDimenision, _networkConfig.InputChannels)));
}
}
