Timeline for Using a MLP to predict a 12x12 matrix
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
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| Oct 26, 2017 at 13:14 | comment | added | Stepan Novikov | I think that 75 examples is not enough for good accuracy, therefore it probably can be up to 80-90% for a such small dataset. However, could you share your dataset, so I will be able to test model with it? | |
| Oct 25, 2017 at 16:50 | comment | added | Fuga | Just updated op with more details. Will do some reading about AE. Thank you! | |
| Oct 25, 2017 at 16:47 | history | edited | Fuga | CC BY-SA 3.0 |
Update with more clear description about the problem
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| Oct 25, 2017 at 14:00 | answer | added | Alireza | timeline score: 2 | |
| Oct 25, 2017 at 12:25 | comment | added | Stepan Novikov | I think that MLP is not a suitable solution in your case and autoencoders are more suitable for your task. However, no guarantees that even AE with the best architecture will work, since it’s not a fact, that your input data contains enough information for such reconstruction. However, if you don’t insist on MPL and can consider using AE instead, I can give you an answer with suggestions how doing it. If you can share your data I even can check it and give you more precise answer . You can find the simple CAE sample here - stackoverflow.com/questions/46921246/issue-with-simple-cae | |
| Oct 25, 2017 at 3:13 | review | First posts | |||
| Oct 25, 2017 at 7:49 | |||||
| Oct 25, 2017 at 3:09 | history | asked | Fuga | CC BY-SA 3.0 |