  We consider the Hopfield model with $n$ neurons and an increasing number
$p=p(n)$ of randomly chosen patterns and use Stein's method to obtain rates of
convergence for the central limit theorem of overlap parameters, which holds
for every fixed choice of the overlap parameter for almost all realisations of
the random patterns.
