yvznvr/neuralnetwork

Neural Network Implementation with C++

NeuralNetwork

Neural Network Implementation with C++

You can see how to implement neural networks.

On the following video, I used this library and Qt.

A Noron Example

// inputs length is 9 because of input dimension * number of sample
double inputs[9] = {-2,-2,-1,0,-2,-1,3,5,-1}; // -1 bias 
double outputs[3] = {-1,-1,1};

Neuron neuron;
neuron.Configure(3, items.size());
neuron.randomWeights();
neuron.setInputs(inputs);
neuron.setOutputs(outputs);
neuron.setLr(0.5);
neuron.setError(0.01);
neuron.deltaRule();  //train neuron
// neuron.perceptronRule()

double *w = noron.getWeights(); 

A Layer Example

double inputs[9] = {-2,-2,-1,0,-2,-1,3,5,-1}; // -1 bias 
double outputs[3] = {1,2,3};

Layer layer(3, 0.5, inputs, outputs, 0.01, 3, 3);
layer.convertOutputs();
layer.setNeurons();
layer.trainDelta();
// layer.trainPerceptron();

double *w = layer.getWeights();

Multi Layer Perceptron Example(Exor)

double inputs[12] = {-5,-5,-1,5,-5,-1,-5,5,-1,5,5,-1}; // -1 bias 
double outputs[4] = {-1,1,1,-1}; 

MultiLayerPerceptron p(3,4,1,inputs,outputs,0.5,0.1,4);
p.randomWeights();
p.learn();