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Can I use Deep Network Designer to classify data in a table for fault Classification.
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Using the code from here I want to take the FeaturesTable and insert it into a Deep Network Designer to combine SVM and other network classification methods. It seems that the Deep Network Designer only wants images as inputs. Is there a way to input data tables in for the fault classification?
This is what pops up when I try to import data:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1286595/image.png)
This is a quick screenshot of what the data table looks like.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1286600/image.png)
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Respuestas (1)
Shoaib iqbal
el 13 de Feb. de 2023
Hi Lawrence,
I understand that you are trying to input a table to Deep Learning model using Deep Learning Designer.
To input the table, use the layer 'featureInputLayer'. Then you need to create a datastore from your input. In the workspace, you can write the command
ds = arrayDatastore(tbl); %tbl is your table
After creating, you can see the same datastore in "Import DataStore" tab.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1293790/image.png)
For more information on 'featureInputLayer' and 'Train network with Numeric Features', refer to the docs
Hope this solves your query.
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