MATLAB: Apply non-image data to CNN

Question

I am trying to train a CNN with a numerical data set. Once the input data is not an image format. Assuming my data has a size of 1850*11 matrix. With a 1850*1 label (for output). In libsvm I can use it directly and in the Neural Network Toolbox (nnstart) as well.

However, in case I want to use a CNN network. The only training function is "trainNetwork" it could only support image as an input. So how could I train the CNN with my data on Matlab?

Any simple example will be appreciated.

Thanks to all of in advance.

Gad

Answer 1

You can read in your data using the function "imageDatastore" with a custom read function.

For example,

nonImageData = imageDatastore(pathToDataFiles, 'IncludeSubfolders', true, 'LabelSource', 'foldernames', 'FileExtensions', '', 'ReadFcn', @customreader);

You can then use 'nonImageData' as you would normally use an "imageDatastore" - for example, as input to "splitEachlabel" or "trainNetwork".

Note: Be careful to watch for negative numbers, however, as some layers (ex. ReLULayer) will convert all negative values to zero.

For more information, see:

https://in.mathworks.com/help/deeplearning/ref/trainnetwork.html?s_tid=srchtitle#input_argument_d0e61395

For more Related MATLAB Answers see:

https://in.mathworks.com/matlabcentral/answers/383886-cnn-with-data_set?s_tid=prof_contriblnk

https://in.mathworks.com/matlabcentral/answers/337635-is-it-valid-to-enter-a-non-image-input-in-convolutional-neural-network-toolbox

https://in.mathworks.com/matlabcentral/answers/349616-how-to-train-a-network-with-non-image-data-mnist