Derivative of a custom loss function with the logistic function
Each parameter will use the partial derivative of Loss w.r.t the parameter i.e.
$\mu = \mu - {\partial L}/{\partial \mu}$
$p = p - {\partial L}/{\partial p}$
$o = o - {\partial L}/{\partial o}$
$u = u - {\partial L}/{\partial u}$
$v = v - {\partial L}/{\partial v}$
If the direct derivative is not possible, then may need the chain-rule.