How to use a sequenceInputLayer with a regressionLayer (neural networks) ?

3 vues (au cours des 30 derniers jours)
mathbourne
mathbourne le 5 Oct 2017
Hi everyone,
How is it possible to use a sequenceInputLayer with a regressionLayer (neural networks)? I have tried the following code:
layers = [...
sequenceInputLayer(inputSize)
fullyConnectedLayer(30)
fullyConnectedLayer(1)
regressionLayer]
which results with the following error message:
Error using trainNetwork (line 140)
The output of layer 3 is incompatible with the input expected by layer 4.
I searched through the manual and have yet to find something that pertains to the expected input of a regressionLayer.
If someone happens to be able to share the relevant documentation or a snippet of code, that would be really helpful.
Thank you very much!
  2 commentaires
bjmuld
bjmuld le 11 Oct 2017
same question here. commenting so I get notified.
Omer Sholev
Omer Sholev le 12 Juin 2018
same here, stuck on this Did you find a solution?

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Réponses (2)

Greg Heath
Greg Heath le 12 Oct 2017
The regression layer is the only one that has no explicit indication of size.
Hope this helps.
Greg
  2 commentaires
Omer Sholev
Omer Sholev le 12 Juin 2018
So what should we do? thanks
Guy Schofield
Guy Schofield le 4 Avr 2019
Can you put an example code for the solution?
Thanks

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Greg Heath
Greg Heath le 4 Avr 2019
The answer is obvious:
help regressionlayer
doc regressionlayer
*Thank you for formally accepting my answer*
Greg

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