3 ms·
I don't know for sure, but here's a plausible mechanism for how: Multiple sub-networks detect the same pattern in different ways, and confidence is the percent
by habitue 3y ago
I don't know for sure, but here's a plausible mechanism for how:
Multiple sub-networks detect the same pattern in different ways, and confidence is the percent of those sub-networks that fire for a particular instance.
There's a ton of overlap and redundancy with so many weights, so there are lots of ways this could work
- brookst 3y agoThat’s good. Also maybe an architecture that runs the query through multiple times and then evaluates similarity of responses, then selects (or creates) the most-generated one, along with a confidence level of how many of the individual responses were aligned.