require 'backpropagation'

examples = [
    [[0, 0], [0]],
    [[0, 1], [1]],
    [[1, 0], [1]],
    [[1, 1], [0]]
]

net = NeuralNetwork::Backpropagation.new([2, 4, 1])

50.times {
    examples.each do |ex|
        net.train(ex[0], ex[1])
    end
}


examples.each do |ex|
    print ex[0], ' => ', net.eval(ex[0]), ', should be ', ex[1], "\n"
end