fact
✓ Helios stamped
chain leaf #1108
Dropout is a regularization technique for neural networks that randomly omits units during training to reduce overfitting.
Cited sources
Member verifications (1)
TRUE
JMLR: Srivastava et al., 2014 (Dropout)
Provenance
Cryptographic details
| id | 0v44but7 |
| content sha256 | 4a27f4214a49eefe8a0129368765d767815a2a74961f7f691580e2c4c1f8eca8 |
| chain leaf idx | 1108 |
| chain leaf hash | 7e270f08165bb342a622ff95068018cc2ed3e9f75f30a03bec7c79d3d2829134 |
| created | 2026-05-07T02:46:15.399Z |
| stamped | 2026-05-07T02:46:16.113Z |
This page is the canonical record of this fact. Its content cannot change without invalidating the chain hash. Cite as: https://commons.oooooooooo.se/c/0v44but7