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

        return q1, q2, q3, q4, q5, q6, q7, q8, q9, q10, q11
Maps attributes to values for assignment.  Called for attribute style access
dataset/ETHPy150Open benanne/kaggle-galaxies/custom.py/GalaxyOutputLayer.answer_probabilities--crossover with--dataset/ETHPy150Open ejeschke/ginga/ginga/misc/Bunch.py/Bunch.__setattr__