I think that’s likely correct. What I mean is that it’s not running all the way to the end of a network, computing a loss function at the end of a well defined inference cycle, computing a bunch of derivatives, etc… and also not doing anything like any of that mid-cycle. If you’re willing to accept a large class of feedback systems as “essentially back propagation”, then it depends on what’s in your class. And I surely don’t know what it’s actually doing.
I think that’s likely correct. What I mean is that it’s not running all the way to the end of a network, computing a loss function at the end of a well defined inference cycle, computing a bunch of derivatives, etc… and also not doing anything like any of that mid-cycle. If you’re willing to accept a large class of feedback systems as “essentially back propagation”, then it depends on what’s in your class. And I surely don’t know what it’s actually doing.