Error when training neural network with multi feature inputs
显示 更早的评论
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
3 个评论
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
YOUNGWOO AN
2024-2-14
Did you solve this problem?
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..
采纳的回答
Prince Kumar
2022-3-31
0 个投票
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!!
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Image Data Workflows 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
