public ConvolutionalLayerProps(ConvolutionalNeuralNetworkProps networkProps)
{
InputCols = networkProps.InputCols; InputRows = networkProps.InputRows; NumberFeatures = networkProps.NumberFeatures;
NeighborhoodCols = networkProps.NeighborhoodCols; NeighborhoodRows = networkProps.NeighborhoodRows;
PoolSamplingCols = networkProps.PoolSamplingCols; PoolSamplingRows = networkProps.PoolSamplingRows;
ConvolutionalOutputs = networkProps.ConvolutionalOutputs;
FeatureCols = networkProps.FeatureCols; FeatureRows = networkProps.FeatureRows;
PoolCols = networkProps.PoolCols; PoolRows = networkProps.PoolRows; PoolSize = networkProps.PoolSize;
}
public ConvolutionalNeuralNetwork(ConvolutionalNeuralNetworkProps props, uint batches = 1)
: base() //base(numInputs, numHiddenNodes, numOutputs, batches)
{
Props = props;
Initialize((uint)props.ConvolutionalOutputs, (uint)props.NumberHiddenNodes, (uint)props.NumberOutputs, batches);
NumInputs = (uint)Props.InputSize;
InputLayer = Layers[0] = new ConvolutionalLayer(new ConvolutionalLayerProps(props), m_ActivationFunction, batches, false);
Reset();
m_ActivationFunction.ChangeFunction(ActivationFunctions.FunctionTypes.Sigmoid);
m_ActivationFunction.FunctionLearningRate = 0.075f;
}
