Need Diffractor.jl for State-of-the-Art Deep Learning Model

Thanks for your example, it looks like a decent using case for nested reverse mode AD.
This remembers me in physics, we often switch the description between energy, forces and acceleration. When including acceleration in the loss, it is a 3rd order reverse mode AD w.r.t. the energy model. Makes sense.