I didn’t know about the continuous nature of LNN; I would have thought that you needed different hardware (maybe an analog computer?) to treat continuous values.
Maybe it could work for generative networks for images or music, that seems less discrete than written language.
I mean, computers aren’t technically continuous and neither are neural networks, but if your time step is small enough they are continuous-ish. It’s interesting that that’s enough.
I agree music would be a good application for this approach.
Thanks for your answer! Very interesting
I didn’t know about the continuous nature of LNN; I would have thought that you needed different hardware (maybe an analog computer?) to treat continuous values.
Maybe it could work for generative networks for images or music, that seems less discrete than written language.
I mean, computers aren’t technically continuous and neither are neural networks, but if your time step is small enough they are continuous-ish. It’s interesting that that’s enough.
I agree music would be a good application for this approach.