As per my understanding of the question, when the results from the neural network are analyzed, the 1x1 struct variable containing six fields of 1x1 “CompactClassificationNeuralNetwork” can be seen in MATLAB R2021a, but the fields appear empty in MATLAB R2024a.
Using the sample script provided below, I trained a neural network classifier using “fitcnet” function in MATLAB. Then I converted six models into compact models using the “compact” function and get the required struct using the “struct” function in MATLAB.
% Load sample data
load fisheriris;
% Prepare data
X = meas;
Y = species;
% Train a neural network classifier
Mdl1 = fitcnet(X, Y, 'LayerSizes', 10, 'Standardize', true);
Mdl2 = fitcnet(X, Y, 'LayerSizes', 20, 'Standardize', true);
Mdl3 = fitcnet(X, Y, 'LayerSizes', 30, 'Standardize', true);
Mdl4 = fitcnet(X, Y, 'LayerSizes', 40, 'Standardize', true);
Mdl5 = fitcnet(X, Y, 'LayerSizes', 50, 'Standardize', true);
Mdl6 = fitcnet(X, Y, 'LayerSizes', 60, 'Standardize', true);
% Convert to compact models
CompactMdl1 = compact(Mdl1);
CompactMdl2 = compact(Mdl2);
CompactMdl3 = compact(Mdl3);
CompactMdl4 = compact(Mdl4);
CompactMdl5 = compact(Mdl5);
CompactMdl6 = compact(Mdl6);
% Create a struct with these compact models
netStruct = struct('Model1', CompactMdl1, 'Model2', CompactMdl2, 'Model3', ...
CompactMdl3, 'Model4', CompactMdl4, 'Model5', CompactMdl5, 'Model6', CompactMdl6);
% Save the struct to a MAT-file
save('netStruct.mat', 'netStruct');
When executing the “netStruct” command in the command window, I was able to see the six 1x1 “CompactClassificationNeuralNetwork” fields in the struct in both MATLAB R2021a and R2024a.
If you have any questions, please share the results from the neural network used to train on images for image segmentation.
The following MATLAB documentation links might be helpful in learning more about the “CompactClassificationNeuralNetwork” and the “compact” functions.
