Timeline for What is the loss function used for CNN?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 1, 2019 at 20:10 | vote | accept | Fraïssé | ||
| Oct 25, 2019 at 13:10 | comment | added | kbrose | That’s a fine opinion, but I feel the exact opposite. /shrug | |
| Oct 25, 2019 at 6:35 | comment | added | Djib2011 | Yes you are correct and if you were just answering to the the question in the title, I would agree with you. But if you read the body of the question, you'll see he implies "classification". For someone whose beginning to learn about CNNs I think it is better to just answer his intended question than to create more questions by introducing more problem settings. | |
| Oct 25, 2019 at 0:25 | comment | added | kbrose | More thoroughly -- the question to me reads like it misunderstands the purpose of CNNs. CNNs are architectures that can be used for classification, but can be used for much more than that. I think an answer that doesn't address that fact is incomplete. That's what I was trying to say with my first comment. | |
| Oct 25, 2019 at 0:17 | comment | added | kbrose | Who said anything about classification? | |
| Oct 24, 2019 at 19:14 | comment | added | Djib2011 | @kbrose I said "in most cases" just to be modest. I have never seen a CNN for classification trained with anything other than cross entropy. | |
| Oct 24, 2019 at 13:03 | comment | added | kbrose | “In most cases” needs a citation. CNNs can be used for regressions, or for image segmentation, or for reinforcement learning, or any number of tasks which would not use cross entropy. The loss function is independent of the architecture! | |
| Oct 24, 2019 at 7:03 | history | answered | Djib2011 | CC BY-SA 4.0 |