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How to input 2D array data for Deep learing toolbox model, not image file

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I want to perform classification using 2D data as input in MATLAB using the Deep Learning Toolbox.
I have 2D-1ch and 2D-3ch data, and I want to know how to input this data into the Deep Learning Toolbox.
Currently, the data is in CSV format, but I can convert it into a suitable 2D array.
However, when I try to input the data in the imds format like the toolbox examples (imdsTrain, imdsValidation), I encounter an error when using @readDatastoreImage since it cannot read CSV files.
  1. How can I read the input data in a format suitable for the toolbox? (I get an error when executing net = trainNetwork(imdsTrain, layers, options);)
  2. I want to define layers directly and convert the data into a format that can be used with imageInputLayer to train the model using the trainNetwork function.
  3. I would appreciate it if you could provide other alternative methods to perform classification on 2D arrays.
I would appreciate specific answers. Thank you.

Answers (1)

Matt J
Matt J on 20 Jul 2023
Edited: Matt J on 20 Jul 2023
Currently, the data is in CSV format, but I can convert it into a suitable 2D array.
An imageDataStore has a ReadFcn property that you can set to enable it to read in from arbitrary file formats.
  5 Comments
Matt J
Matt J on 27 Jul 2023
Well, if it allows you to move on with your life, I guess that's the important thing, but I don't think it's a real solution.
Yongwon Jang
Yongwon Jang on 28 Jul 2023
Edited: Yongwon Jang on 28 Jul 2023
Thank you for your comments.
However, this solution was provided by one of the matlab staff.......
I'll try that some other time. There are a lot of other issues that need to be addressed right now...

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