def _L2_reg(self, lambda_, w1, w2):
        return ((lambda_ / 2.0) * (np.sum(w1[:, 1:] ** 2) +
                np.sum(w2[:, 1:] ** 2)))
reset turtle to its initial values
dataset/ETHPy150Open rasbt/mlxtend/mlxtend/classifier/neuralnet_mlp.py/NeuralNetMLP._L2_reg--crossover with--dataset/ETHPy150Open amrdraz/kodr/app/brython/www/src/Lib/site-packages/turtle.py/TNavigator.reset