Backpropagation requires knowing the properties of the forward pass through layers. If you don't know the hardware properties, you need a different learning algorithm. Activity perturbation (perturbing neuron inputs and measuring the effect) works better than weight perturbation because there are fewer neurons than weights, so it has much less variance.