Timeline for Why LSTM models do not require labels for each step?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 23, 2019 at 11:28 | comment | added | Bram Vanroy | You can also build a simple regression model next to the RNN, and in some way concatenate its output (average, max pool, ...) | |
| May 23, 2019 at 8:11 | comment | added | nolwww | Thanks a lot. So, that's the only way to use it? | |
| May 23, 2019 at 7:18 | comment | added | Bram Vanroy | Yes, you can add it as a feature for the previous days. | |
| May 23, 2019 at 1:51 | comment | added | nolwww | Hello, I'm totally aware of the difference between feature and label. What I'm saying is that, in a classic model, you have, say, 10 features, and one label. Here, I have these 10 features for 7 successive days. Thus, I use a LSTM to use this additional strength. However, I also have the labels for everyday, but, with a classic LSTM, Y is only the last day labels. So, my question was: If I want to use Y of the other 6 days, may I: 1) Do as you suggest and include these 6 days labels in my features 2) Or, there is a model that can take it differently. | |
| May 22, 2019 at 10:42 | history | answered | Bram Vanroy | CC BY-SA 4.0 |