As a personal project, I'd like to learn #julialang and develop simple #neuralnets with eventually increasing (?) complexity and biologically inspired dynamics. Or at least without backprop!
I've only used #numpy #keras and #tensorflow in uni or on the job, and then some #pytorch studying GANs on coursera.
I think Julia could be fast and smooth working with ODEs and matrix multiplications.
Anyways, suggested sources and tips?