'Args:
scale (float, optional): scale factor for the backpropagated error (default: 1)
usebits (boolean, optional): Display costs in bits (default: False)'

def __init__(self, scale=1, usebits=False):

    super(CrossEntropyMulti, self).__init__()
    self.usebits = usebits
    self.scale = scale
    self.logscale = np.float(((1.0 / np.log(2.0)) if usebits else 1.0))
