Error when training neural network with multi feature inputs
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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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chechezhe Chen
2022-6-29
https://www.mathworks.com/support/search.html/answers/1587899-how-to-create-a-datastore-for-using-the-deep-network-designer-app.html?fq[]=asset_type_name:answer&fq[]=category:deeplearning/deep-learning-with-time-series-sequences-and-text&page=1
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Prince Kumar
2022-3-31
Hi,
Please refer to the following answers:
- https://www.mathworks.com/matlabcentral/answers/522086-how-can-i-train-multi-input-deep-network-without-datastore
- https://www.mathworks.com/matlabcentral/answers/489864-how-to-train-deep-learning-network-with-multi-inputs
Hope this helps!!
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