void NN::StepByGradient(){
	//gradientStep(), called each time to

	for(int i = 0; i < nHiddenNeurons; i++){
		biasHidden[i] -= learningRate * d_biasHidden[i];//setting the biases correctly
	}
	for(int i = 0; i < nHiddenNeurons*nInputs; i++){
		weightsHidden[i] -= learningRate * d_weightsHidden[i];//setting everything completely
	}
	for(int i = 0; i < nHiddenNeurons*nOutputs; i++){
		weightsOutput[i] -= learningRate * d_weightsOutput[i];
	}
	for(int i = 0; i < nOutputs; i++){
		biasOutput[i] -= learningRate * d_biasOutput[i];
	}
}