How to input 2D array data for Deep learing toolbox model, not image file
3 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
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.
0 Kommentare
Antworten (1)
Matt J
am 20 Jul. 2023
Bearbeitet: Matt J
am 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 Kommentare
Matt J
am 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.
Siehe auch
Kategorien
Mehr zu Image Data Workflows finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!