Mostly only relevant for convnets it seems
"only"
Group Normalization
11–13 of 13 posts
Re: Group Normalization
#12Nothing to do with database normalization or reconciliation
Re: Group Normalization
#13Has anyone made or found an implementation yet?
When it comes to using super new research models or methods in deep learning, implementing it yourself instead of looking for other implementations is almost a requirement. In my experience the majority of online "implementations" of research deep learning models or methods have subtle bugs, flaws, or outright implemented something different than the paper they reference. This isn't limited to random github code: for…
Are you generally able to achieve the results the new research claims after you implement it yourself per their description?
I would have thought if their description is shit then their results are shit too (cherry-picked from hundreds of runs, outright fabricated, misinterpreted, incorrectly graphed, whatever - just plain doesn't work, like a bad recipe.)
As a followup if this is the case then how do you know what new deep learning research is worth your time to implement?