Comments (2)
@alison-carrera thanks for the reply! Yes I guess I wouldn't know until I try. I'll let you know if I get anywhere with my experiments. Thanks :)
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Hi @puzzlecollector, nice question :D
It's theoretically possible, if a backpropagation works on an ANN it will work on LSTM as well, but I stay wondering whether it is possible to converge. We know LSTM is a very unstable network and keeps exploding gradients sometimes. Either the online update can cause a lot of gradient explosion or the network will not converge because there are more parameters to be learned. I think you can try this approach, I'm certainly the algorithm will work without executions errors, my only precaution is about convergence. Will it converge? We need to try.
from onn.
Related Issues (8)
- Why No Extra Marketing? HOT 3
- hard coded feature size HOT 1
- This algorithm isn't working properly with imbalanced dataset HOT 1
- saving model or resuming training from a model HOT 2
- Can ONN be used to solve classification problems? Can ONN be used in regression problems? HOT 1
- ONN doesn't seem to converge HOT 3
- multiple outputs HOT 1
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