Zeuron

Building

cmake -B build .
cmake --build build

Testing

ctest --test-dir build --rerun-failed -VV -C Debug

Usage

#include <NeuralNetwork.hpp>
#include <Logger.hpp>
// Create a Neural Network like so
std::shared_ptr<NeuralNetwork> neuralNetworkPointer(
 new NeuralNetwork(
 // Layer sizes
 std::vector<unsigned long>({ 2, 3, 1 }),
 // ActivationType. Can be one of: Sigmoid, Linear, Swish, Tanh
 NeuralNetwork::Sigmoid
 )
);
auto &network = *neuralNetworkPointer;
// Training
// Declare some training inputs/outputs
// Simple XOR example
std::vector<std::vector<long double>> trainingInputs = {{{{0, 0}}, {{0, 1}}, {{1, 0}}, {{1, 1}}}};
std::vector<std::vector<long double>> trainingOutputs = {{{{0}}, {{1}}, {{1}}, {{0}}}};
// Train
// Set learning rate
network.learningRate = 20;
// Train a number of iterations
auto trainingInputsSize = trainingInputs.size();
unsigned long trainingIteration = 0;
for (; trainingIteration < 4096; trainingIteration++)
{
 for (unsigned long trainingIndex = 0; trainingIndex < trainingInputsSize; trainingIndex++)
 {
 auto &input = trainingInputs[trainingIndex];
 auto &output = trainingOutputs[trainingIndex];
 // Activate the network with input
 network.feedforward(input);
 // Backpropagate the network with expected output
 network.backpropagate(output);
 }
}
// Use the network
std::vector<long double> input({ {0, 1} });
network.feedforward(input);
auto outputs = network.getOutputs();
logger(Logger::Info, "Output: " + std::to_string(outputs[0]));

License