diff --git a/source/matlab/.DS_Store b/source/matlab/.DS_Store
new file mode 100644
index 0000000..67f701c
Binary files /dev/null and b/source/matlab/.DS_Store differ
diff --git a/source/matlab/vgg16_custom.m b/source/matlab/vgg16_custom.m
index 6539b73..bd99513 100644
--- a/source/matlab/vgg16_custom.m
+++ b/source/matlab/vgg16_custom.m
@@ -9,7 +9,7 @@ function vgg16_custom()
 
     %Split DataSet into two sets: Training & Validation. Here Split is done on
     %9:1 ratio.
-    [imdsTrain,imdsValidation] = splitEachLabel(imds,0.9,'randomized');
+    [imdsTrain,imdsValidation] = splitEachLabel(imds,0.75,'randomized');
 
     %Select 9 random image numbers to show
     numTrainImages = numel(imdsTrain.Labels);
@@ -114,9 +114,13 @@ function vgg16_custom()
     test_imds = imageDatastore('/Users/somdipdey/Documents/MATLAB/Add-Ons/Collections/Deep Learning Tutorial Series/code/AHS/test_dataset', ...
         'IncludeSubfolders',true, ...
         'LabelSource','foldernames');
-    test_augimdsValidation = augmentedImageDatastore(inputSize(1:2),test_imds);
+    %test_augimdsValidation =
+    %augmentedImageDatastore(inputSize(1:2),test_imds);%no need to augment
+    %testing dataset if not needed
     %%Classify Test Images
-    [YPred2,scores2] = classify(netTransfer,test_augimdsValidation);
+    %[YPred2,scores2] = classify(netTransfer,test_augimdsValidation);% use if augmented
+    %test dataset is used for testing
+    [YPred2,scores2] = classify(netTransfer,test_imds);
     %Display Predication and it's score
     fprintf('\n Testing on a completely new dataset \n');
     fprintf('Prediction: %s' , YPred2 , ', Scores: ');
diff --git a/source/matlab/video_to_images.m b/source/matlab/video_to_images.m
new file mode 100644
index 0000000..0851c5a
--- /dev/null
+++ b/source/matlab/video_to_images.m
@@ -0,0 +1,64 @@
+videosDir = '/Users/somdipdey/Documents/MATLAB/Add-Ons/Collections/Deep Learning Tutorial Series/code/AHS/curated_video'
+currDir = pwd
+dinfo = dir(videosDir);
+dinfo(ismember( {dinfo.name}, {'.', '..'})) = [];  %remove . and ..
+%dirFlags = [dinfo.isdir] & ~strcmp({dinfo.name},'.') & ~strcmp({dinfo.name},'..');
+
+
+for k= 1:length(dinfo)
+    fprintf('Loop started.\n');
+    if ~dinfo(k).isdir
+        continue
+    end
+    path = strcat(videosDir,'/',dinfo(k).name)
+
+    currDir
+    dinfo(k)
+    videoPath=strcat(path,'/medium_2.mp4')
+  %  shuttleVideo = audiovideo.mmreader(videoPath);
+    shuttleVideo = VideoReader(videoPath);
+    
+    frVidInfo=get(shuttleVideo);
+    numberOfFrames = shuttleVideo.NumberOfFrames
+    vidHeight = shuttleVideo.Height;
+    vidWidth = shuttleVideo.Width;
+    framesToRead = 1:12:numberOfFrames
+ % initialize a matrix for all frames to be read
+   % allFrames = zeros(vidHeight, vidWidth, 3, length(framesToRead));
+
+    img_dir = strcat('img/',dinfo(k).name)
+    path = fullfile(currDir,img_dir)
+    if exist(path, 'dir')
+
+         if length(dir([path '/*.jpg']))>1
+             continue
+%         else
+%            delete(path,'\*.fig')
+         end
+    else
+        mkdir(path)
+    end
+ % read in the frames
+    for k=1:length(framesToRead)
+
+       frameIdx = framesToRead(k);
+
+       currentFrame   = read(shuttleVideo,frameIdx);
+       filename = sprintf('%d.jpg',k-1);
+      % filename = [sprintf('%03d',ii) '.jpg'];
+       fullname = fullfile(currDir,img_dir,filename);
+       imwrite(currentFrame,fullname);
+
+%        if k==1
+%            % cast the all frames matrix appropriately
+%            allFrames = cast(allFrames, class(currentFrame));
+%        end
+% 
+%        allFrames(:,:,:,k) = currentFrame;
+    end
+    
+end
+ 
+
+% Code will end adnormally beacuse it will search video in images folder as
+% well !!!