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timlod

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Who invented deep residual learning?

people.idsia.ch
114 ポイント·投稿者 timlod·9 か月前·35 コメント

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timlod
·6 か月前·議論
FWIW, the performance considerations section is a little simplistic, and probably assumes that exact dataset/problem.

For GIN for example, perfomance depends a lot on the size of the search input (the fewer characters, the more rows to compare) as well as the number of rows/size of the index.

It also mentions GiST (another type of index which isn't mentioned anywhere else in the article)..
timlod
·11 か月前·議論
So, I checked, and this life cycle assessment (first link I could find, seems very comprehensive) states a 27x return on energy: https://www.vestas.com/en/sustainability/environment/lifecyc...

This as opposed to a tweet about someone who 'read a life cycle analysis article in some engineering journal like 10 years ago'.

Please don't spread misinformation.