How to train neural network with extracted features?

I use following code for feature detection aand storing:

srcFiles = dir('E:\Database\Preprocessed\Genuine\Resize\20\*.png');  % the folder in which ur images exists
Features = cell(length(srcFiles),1) ;
Valid_points =cell(length(srcFiles),1) ;

for i = 1 : length(srcFiles)
    filename = strcat('E:\Database\Preprocessed\Genuine\Resize\20\',srcFiles(i).name);
    points1 = detectSURFFeatures(imread(filename)); hold on;
    strongest = points1.selectStrongest(5);
    imshow(filename); hold on;
    plot(strongest);
    strongest.Location
    [features1, interest_points] = extractFeatures(imread(filename), points1);
    Features{i} = features1 ;
    Valid_points{i} = interest_points ;
    figure; imshow(filename);
    
end
%Features;
%Valid_points;

plz tell me how to give the input of extracted features in the training of neural network.