(self, delta)
return res
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
Back propagates the error of a minibatch through the model.
Back propagates the error of a minibatch through the model .
def bprop(self, delta):
        """
        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
        """
        res = self.layers.bprop(delta)
        self.be.convert_data(res, False)
        return res
def bprop ( self , delta ) : res = self . layers . bprop ( delta ) self . be . convert_data ( res , False ) return res