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LSTM: Multi Input to Single Output Regression - Wrong Input form

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i'm trying to map several inputs (human biosignals and stats) to a single value (concerning the heartrate).
I'm trying to understand what form my inputs needs to be, but i feel really stuck, since my lstm works with "dummy" input- matrices, but it seems to me, that i'm still missing something completely.
layers = [ ...
maxEpochs = 15;
miniBatchSize = 1;
options = trainingOptions('adam', ...
'MaxEpochs',maxEpochs, ...
'MiniBatchSize',miniBatchSize, ...
'InitialLearnRate',0.01, ...
'GradientThreshold',1, ...
'Shuffle','never', ...
'ValidationFrequency',4, ...
net = trainNetwork(LSTMARR3,LSTMARR_targets,layers,options);
My Input : LSTMARR3
My Output : LSTMARR_targets
Below i tried to show you how i formatted my data, so can you please help me how to feed my data to my network?

Risposte (2)

Shuhei IKEDA
Shuhei IKEDA il 3 Nov 2019
It is not an answer. but I have a same ploblem!!
Could anyone help us?? ;(

Linyu Lin
Linyu Lin il 20 Feb 2020
First of all, I am not sure if you are having 29516 features with a single time sequence as inputs
You are having 1 feature with 29516 time sequence?
If it is the first case, all you need to do if swith the dimension from 1x29516 to 29516x1. It should solve the problem easily.
If it is the second case, I am afraid that MATLAB currently can not have different sequence length in the input and output for sequence regression problem.




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