Timeline for Why is binary cross entropy (or log loss) used in autoencoders for non-binary data
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 25, 2022 at 12:49 | history | edited | User1865345 | CC BY-SA 4.0 |
added 30 characters in body
|
| Mar 7, 2019 at 17:34 | comment | added | JaeHyeok Shin | Yes, definitely, if the mean parameter is too close to 0 or 1, cross entropy and l2 loss behave differently. When I said strongly convex loss behaves similarly to l2, it meant when the underlying mean parameters are not too close to the boundary. | |
| Mar 6, 2019 at 10:20 | comment | added | hans | I always thought that you use log because it does not behave like $l_2$ close to zero. | |
| Mar 1, 2019 at 22:48 | history | answered | JaeHyeok Shin | CC BY-SA 4.0 |