def _cost(self, x, y):
        p_y = self._forward(x)
        return -T.mean(T.log(p_y)[y, T.arange(y.shape[0])])
Symbolic average negative log-likelihood using the soft-max output
dataset/ETHPy150Open LxMLS/lxmls-toolkit/lxmls/deep_learning/mlp.py/TheanoMLP._cost