'Back propagates the error of a minibatch through the model.
Arguments:
delta (Tensor): Derivative of cost with respect to the last layer\'s output
Returns:
Tensor: Deltas to propagate to the next layer'

def bprop(self, delta):

    return self.layers.bprop(delta)
