Etothepowerof26

ACTIVATION_RESPONSE = 1


NeuralNetwork = {
	transfer = function(x) return 1 / (1 + math.exp(-x / ACTIVATION_RESPONSE)) end --This is the Transfer function (in this case a sigmoid)
}

function NeuralNetwork.create(inputs, outputs, hiddenlayers, neurons, learningrate)
	inputs = inputs or 1
	outputs = outputs or 1