write simple gan for generate clean images in matlab

main.m
% Import necessary libraries
addpath(genpath('gan_code_folder_path')); % Add path to GAN code folder

% Load clean image dataset
imds = imageDatastore('clean_images_folder_path', ... 
    'IncludeSubfolders', true, 'LabelSource', 'foldernames');

% Set GAN options
options = trainingOptions('sgdm', ...
    'MaxEpochs', 50, ...
    'MiniBatchSize', 32, ...
    'Plots', 'training-progress');

% Create and train the GAN
gan = gan_generator(); % Replace with actual GAN model function
[genNet, discNet] = trainGAN(gan, imds, options); % Replace with actual GAN training function

% Generate new clean images
numImages = 10;  % Number of clean images to generate
outputFolder = 'output_images_folder_path';  % Folder to save generated images

for i = 1:numImages
    noise = rand([1, 100]); % Random noise vector
    generatedImage = generate(gan, noise); % Replace with actual generator function
    imwrite(generatedImage, fullfile(outputFolder, sprintf('generated_image_%d.png', i)));
end
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