def backward_propagation_l2_regularization(m,W,lambd):
	"""
	computes the l2 regularization term for backpropagation of a single layer

	Arguments:
	m -- number of examples
	W -- weights of the layer
	lamdb -- regularization term for scaling of "ssmoothing"

	Returns:
	L2_regularization_backpropagation - value of the regularized loss function term for backpropagation
	"""
	L2_regularization_backpropagation = ((lambd/m)*W)

	return L2_regularization_backpropagation