def answer_probabilities(self, *args, **kwargs):
        input = self.input_layer.output(*args, **kwargs)
        q1 = tc_softmax(input[:, 0:3], self.threshold) # 1.1 - 1.3
        q2 = tc_softmax(input[:, 3:5], self.threshold) # 2.1 - 2.2
        q3 = tc_softmax(input[:, 5:7], self.threshold) # 3.1 - 3.2
        q4 = tc_softmax(input[:, 7:9], self.threshold) # 4.1 - 4.2
        q5 = tc_softmax(input[:, 9:13], self.threshold) # 5.1 - 5.4
        q6 = tc_softmax(input[:, 13:15], self.threshold) # 6.1 - 6.2
        q7 = tc_softmax(input[:, 15:18], self.threshold) # 7.1 - 7.3
        q8 = tc_softmax(input[:, 18:25], self.threshold) # 8.1 - 8.7
        q9 = tc_softmax(input[:, 25:28], self.threshold) # 9.1 - 9.3
        q10 = tc_softmax(input[:, 28:31], self.threshold) # 10.1 - 10.3
        q11 = tc_softmax(input[:, 31:37], self.threshold) # 11.1 - 11.6

        return q1, q2, q3, q4, q5, q6, q7, q8, q9, q10, q11
get_threshold() -> (threshold0, threshold1, threshold2)    
dataset/ETHPy150Open benanne/kaggle-galaxies/custom.py/ThresholdedGalaxyOutputLayer.answer_probabilities--crossover with--dataset/ETHPy150Open amrdraz/kodr/app/brython/www/src/Lib/gc.py/get_threshold