Timeline for How to "use" Yolo Loss Function
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 15 at 7:08 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jun 14 at 18:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Feb 2 at 19:08 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Oct 3, 2023 at 21:08 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Feb 1, 2023 at 4:21 | answer | added | mon | timeline score: 0 | |
| May 20, 2019 at 12:22 | history | edited | Stephan Kolassa |
edited tags
|
|
| Jan 7, 2019 at 13:01 | comment | added | aleio1 | No, but it doesn't matter. They're interchangable. | |
| Jan 7, 2019 at 12:22 | comment | added | nope | Usually, the "hat" variables are the predicted ones and the "standard" ones are the right ones. Are you sure it is different in your case? | |
| Jan 7, 2019 at 11:45 | review | First posts | |||
| Jan 7, 2019 at 12:00 | |||||
| Jan 7, 2019 at 11:43 | history | asked | aleio1 | CC BY-SA 4.0 |