Timeline for What do the terms "dense" and "sparse" mean in the context of neural networks?
Current License: CC BY-SA 4.0
12 events
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May 30, 2023 at 6:26 | comment | added | JeeyCi | Dense is saturated with non-zeros, Sparse comprises mane zero weights in matrix = Hence, sparce is difficult/slow to estimate, having lack of points & their dynamics in matrix/batches => need something like Convolution to eliminate zero-weights first (~regularization) to speed-up training, I think. Sparcity is the case of Images, computer vision, NLP, as is learning language models, cinema & phone-commutation signals, can use sparse-dence embeddings for better search results | |
Jan 13, 2023 at 9:00 | history | tweeted | twitter.com/StackStats/status/1613823166790483969 | ||
Jan 13, 2023 at 0:52 | answer | added | TeddybearCrisis | timeline score: 0 | |
Oct 4, 2018 at 7:38 | history | edited | kjetil b halvorsen♦ |
edited tags
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Oct 2, 2018 at 11:20 | comment | added | Scortchi♦ | See also What does “sparse” mean in the context of neural nets? | |
S Oct 2, 2018 at 11:17 | history | suggested | user82135 | CC BY-SA 4.0 |
A few small changes.
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Oct 2, 2018 at 10:50 | review | Suggested edits | |||
S Oct 2, 2018 at 11:17 | |||||
Mar 12, 2017 at 17:09 | vote | accept | Dmytro Nalyvaiko | ||
Mar 12, 2017 at 16:41 | answer | added | user20160 | timeline score: 24 | |
Mar 12, 2017 at 15:07 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
added tags; edited for English
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Mar 12, 2017 at 14:44 | review | Low quality posts | |||
Mar 12, 2017 at 15:07 | |||||
Mar 12, 2017 at 14:29 | history | asked | Dmytro Nalyvaiko | CC BY-SA 3.0 |