title: Image classification with extra 'dimension'
body: <p>I am doing <strong>image classification</strong> based on a CNN in tensorflow and Keras. I am classifying images of <strong>faces</strong>, into which emotion is being expressed (happy, sad, etc). This actually works pretty well, but there is something I don't really understand. </p>
  
  <p>For each image, I <strong>also have the age</strong> of the person that is on the image. I want to <strong>add this information (age) to the CNN.</strong> So right now the CNN only uses the pixels of the image, but i want to make the CNN to take the age into account. Is this possible / what is the method for this? </p>
  
  <p>My first thought was to add an extra dimension to the image, with the age, but then I'm kind of stuck... Because age is just 1 number, and of course each layer in the image is width x height. Can I just ad a layer that consists of a whole matrix with just the age as value of each pixel? 
  Anyone who knows how such a thing usually is done...?</p>
  
  <p>Thanks in advance</p>