gistfile1.txt

function getImages()
%Puts images into matrices
% randomise weights
 % Until total error < (0.1?) or you can do it until the validation set has a low error
   %  repeat for each letter
	%	apply first letter
	%	calculate error and make positive
	%	add first letter to total error
	%	change weight
	%repeat
%repeat
    
    %read in images

    %send to file
    %dlmwrite('\\TOWER9\home50\b0076834\MATLAB\output',C);
    cellArray = cell(1,44); 
    
    for j=1:9 
        A = imread(strcat('\\TOWER9\home50\b0076834\Downloads\EnglishHndD\EnglishHndD\Img\Sample001\img001-00',num2str(j),'.png'));
        B = imresize(A, [20 20],'nearest');
        C = im2double(B);
        
        cellArray{j} = C;
       
        cellArray{j};
        %Proves it's working
        dlmwrite(strcat('\\TOWER9\home50\b0076834\MATLAB\output',num2str(j)),cellArray{j});
    end
    
    %Instead of a conditional checking, it's more efficient to have another
    %loop
    for j=10:44 
        A = imread(strcat('\\TOWER9\home50\b0076834\Downloads\EnglishHndD\EnglishHndD\Img\Sample001\img001-0',num2str(j),'.png'));
        B = imresize(A, 0.5);
        C = im2double(B);
       
       % cellArray{j} = C;
    end
    
    
    %Need to split up
    %Target = 000000001, 1 | 0000000010, 2 | 0000000100, 3 | etc.
    %set up targets, run for total amount of images
 
  cellTargets = zeros(10,550);    
  x = 1;  
  for j = 1:550
	if mod(j,55) == 0
         x = x+1;
    end
    
    cellTargets(x,j) = 1;
  end
     
  
  %Read in images
  
   
  
end