Iris: A C++ Neural Network Engine

Iris is an experimental neural network engine, built from scratch with C++.

Usage

To try the iris engine, create a main.cpp file in the root directory, then use the example code below by placing it inside:

#include "include/iris.hpp"

using namespace iris;

int main(int argc, char** argv)
{
    Network inet = Network({ Layer(3),
                             Layer(2),
                             Layer(3) });

    inet.setInput({ 1, 0, 1 });
    inet.setTarget({ 1, 0, 1 });

    inet.train(100);

    inet.describe();

    return 0;
}

Where:

• Network is the neural network engine, the constructor receives a vector of Layer.
• Layer specifies a new layer, where 3, 2 and 3 are the amount of neurons inside each layer.
• setInput() adds the input to the network, where {0, 1, 3} is the input vector.
• setTarget() sets the expected output, where {3, 2, 4} is the output vector.
• train() starts the training process, where 100 are the epochs, information will be displayed over each epoch showing the global error.
• describe() prints every layer and every neuron inside the network, exposing its information, including inputs, topology, outputs, and the errors.

To build and run the project, use CMake:

$ cmake .
$ make
$ ./out/iris

License

The Iris engine is distributed under the Apache 2.0 License.