(self, err, out)
Compute the updated bias gradient for a fully connected network layer.

        Arguments:
            err (Tensor): backpropagated error
            out (Tensor): Where to store the updated gradient value.
Compute the updated bias gradient for a fully connected network layer.
Compute the updated bias gradient for a fully connected network layer .
def update_fc_bias(self, err, out):
        """
        Compute the updated bias gradient for a fully connected network layer.

        Arguments:
            err (Tensor): backpropagated error
            out (Tensor): Where to store the updated gradient value.
        """
        raise NotImplementedError()
def update_fc_bias ( self , err , out ) : raise NotImplementedError ( )