void ConvolutionalNeuralNetwork::FP(int index){
MatrixD Z = Inputs.at(index).reshape(1,1).t();
for(int i = 0; i < network.size(); i++){
(network.at(i)->ForwardPropargation(Z)).copyTo(Z);
}
Z.copyTo(ZL);
}
MatrixD ConvolutionalNeuralNetwork::FP(MatrixD X){
MatrixD Z;
X.copyTo(Z);
for(int i = 0; i < network.size(); i++){
network.at(i)->ForwardPropargation(Z).copyTo(Z);
}
return Z;
}