Error when training neural network with multi feature inputs

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Mathieu Chêne
Mathieu Chêne 2022-3-7
评论： Muhammad 2025-5-16
Hi,
I am currently working on a project in which I use a neural network with 3 feature inputs. The first one (localPosScore) is a 1x9 vectors and the others (msgX) are 1x7 vectors :
I create an arrayDatastore from a cell array with my training datas and the read function gives me this result :
However when I use the trainNetwork function the command answers me this error
Error using trainNetwork (line 184)
Input datastore returned more than one observation per row for network input 1.
I don't where I miss something because when I read the trainNetwork's help page I have a cell array of {numInputs+1} elements with a categorical label.
May you help me to solve this probem ?
Thanks in advance
Mathieu
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Muhammad
Muhammad 2025-5-16
This is how i fixed this probelm:
this was my before datastore
>> preview(combined_ds)
ans =
1×4 cell array
{32×32 uint8} {32×32 uint8} {1×80 double} {1×1 cell}
you can see that the linear layer has size 1x80.. this is causing the problem.. try to make it 80x1.. this will solve the problem..

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Prince Kumar
Prince Kumar 2022-3-31

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