Timeline for So what's the catch with LSTM?
Current License: CC BY-SA 3.0
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| Feb 2, 2018 at 20:27 | comment | added | tom | Agreed, and I think overfitting (aka poor generalization) is perhaps the biggest risk. Make sure you have a good strategy for doing model validation. | |
| Feb 2, 2018 at 19:19 | history | edited | Imran | CC BY-SA 3.0 |
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| Feb 2, 2018 at 19:06 | history | answered | Imran | CC BY-SA 3.0 |