(self, error, alpha=1.0, beta=0.0)
Apply the backward pass transformation to the input data.

        Arguments:
            error (Tensor): deltas back propagated from the adjacent higher layer

        Returns:
            Tensor: deltas to propagate to the adjacent lower layer
Apply the backward pass transformation to the input data.
Apply the backward pass transformation to the input data .
def bprop(self, error, alpha=1.0, beta=0.0):
        """
        Apply the backward pass transformation to the input data.

        Arguments:
            error (Tensor): deltas back propagated from the adjacent higher layer

        Returns:
            Tensor: deltas to propagate to the adjacent lower layer
        """
        for l, e, a, b in reversed(list(zip(self.layers, error, self.alphas, self.betas))):
            l.bprop(e, alpha=a, beta=b)
def bprop ( self , error , alpha = 1.0 , beta = 0.0 ) : for l , e , a , b in reversed ( list ( zip ( self . layers , error , self . alphas , self . betas ) ) ) : l . bprop ( e , alpha = a , beta = b )