def __init__(self, layer_args, input_shape, rand_state=np.random):
        super(SoftmaxNet, self).__init__(layer_args, input_shape, rand_state=rand_state)
        self.num_classes = self.layers_[-1].output_shape[0]
Softmax (cross entropy) cost neural net.
dataset/ETHPy150Open bbabenko/simple_convnet/simple_convnet/convnet.py/SoftmaxNet.__init__