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31 points NetRunnerSu | 2 comments | | HN request time: 0.612s | source
1. upghost ◴[] No.44399180[source]
This looks absolutely fantastic, please accept my meagre professional jealousy. I have long bemoaned manual hyperparam fiddling . I have on occasion dabbled with nonparametric ("genetic") methods of hyperparam tuning inspired by AutoML... but then you still have to manually tune the evolutionary hyperparams.

Finding a way to derive this from the gradients is amazing.

replies(1): >>44401290 #
2. NetRunnerSu ◴[] No.44401290[source]
This is definitely not just another machine learning method. It comes from a complete cognitive science theory, rooted in a complete understanding of intelligence and consciousness.

https://github.com/dmf-archive/IPWT

:)