title: What is the difference between image classification and image recognition (in the context of face recognition)?
body: <p><strong><em>A classic example of image classification problem is to classify handwritten digits using softmax linear regression model for MNIST data. Let us suppose there is a facial database of 10 subjects and 10 images for each subject. This will be a problem of image (face) recognition.</em></strong></p>
  
  <p><em>So considering the difference in the feature space of digits and faces, by analogy can I assume each subject as each digit and images of subjects as examples of handwritten digits and apply the classification algorithm to perform recognition. <a href="http://www.codesofinterest.com/2016/11/can-lenet-model-handle-face-recognition.html" rel="nofollow noreferrer">Check this link</a></em> </p>
  
  <p><strong>Please help me understand this?</strong></p>