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.
- 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);)
- 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.
- I would appreciate it if you could provide other alternative methods to perform classification on 2D arrays.
I would appreciate specific answers. Thank you.
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Matt J
2023-7-20
编辑:Matt J
2023-7-20
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.
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Matt J
2023-7-27
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.
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