How to use a sequenceInputLayer with a regressionLayer (neural networks) ?
Mostrar comentarios más antiguos
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 comentarios
bjmuld
el 11 de Oct. de 2017
same question here. commenting so I get notified.
Omer Sholev
el 12 de Jun. de 2018
same here, stuck on this Did you find a solution?
Respuestas (2)
Greg Heath
el 12 de Oct. de 2017
0 votos
The regression layer is the only one that has no explicit indication of size.
Hope this helps.
Greg
2 comentarios
Omer Sholev
el 12 de Jun. de 2018
So what should we do? thanks
Guy Schofield
el 4 de Abr. de 2019
Can you put an example code for the solution?
Thanks
Greg Heath
el 4 de Abr. de 2019
0 votos
The answer is obvious:
help regressionlayer
doc regressionlayer
*Thank you for formally accepting my answer*
Greg
Categorías
Más información sobre Deep Learning Toolbox en Centro de ayuda y File Exchange.
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!