BrainFart

BrainFart is a C++ library for DeepNeuralNetwork development. It's usage is very simple and intuitive.
To start you will need to create a brain object:

 BrainFart* MyBrain = new BrainFart({2, 3, 2}, 0.05);  

This will create a Neural Network with 2 inputs, 1 hidden layer and 2 outputs and a learining rate of 0.05.
To feed it data we use the feedForward function:

 MyBrain->feedForward({1, 1});  

This returns a float vector with what our network thinks is the answer.
If we want to train the network we can use the smart and easy backPropagation function:

 MyBrain->backPropagation({actualAnswerVector}, {networksGuessVector});  

The library also offers a train function which takes as input a struct trainingData:

 struct TrainingData{
	 std::vector<float> Data;
	 std::vector<float> answer;
	 }

MyBrain->train(MyTrainingData);

We can mutate our current Neural Network through the mutate() function and also make two Neural Networks reproduce and make babies through the reproduce function:

MyBrain->mutate();
BrainFart* MyBrain2 = new BrainFart({2, 3, 2}, 0.05);
BrainFart* Brain3 = BrainFart::reproduce(MyBrain, MyBrain2);

The library is still a WIP.