title: Get list of true positives, false positives, false negatives and true negatives with tensorflow
body: <p>Here is my work :</p>
  
  <ul>
  <li>I have annotated images of "Living" cells (circa 8.000) and images of "Dead" cells (circa 2.000) (+ 800 and 200 for testing set)</li>
  <li>I am using CNN (with tensorflow and keras) in order to classify images as "Living" or "Dead".</li>
  <li>I trained my model : validation loss = 0.35, recall = 0.81, accuracy = 0.81.</li>
  </ul>
  
  <p>Here is the problem : how can I get the list of images classified as "Living" or "Dead" so I can check them (maybe some of images are not in the right folder ? Or model has issue with specific type of images ?)</p>
  
  <p>Please, could you let me know if you have any clue in order to solve this issue ?</p>
  
  <p>Kindly yours.</p>