title: How to input scalar (non-image) values to CNNs?
body: <p>The classification task is based on a image and a scalar value.</p>
  
  <p>If I encoded the scalar value as image pixels with that value (or a normalized version of the same) and append it as another layer in the input image, I would be wasting convolutional computation cycles over the encoding to get this information into the network.</p>
  
  <p>On the other hand, I can send this as another neuron to the layer where flattening of conved feature maps occurs. Another option would be adding just before the output layer. <em>(But how do I implement such a network in Keras or tensorflow?)</em></p>
  
  <p><strong>Which is the best method to send in scalar values?</strong> </p>
  
  <p>PS: Although this question is not specific to any framework, Keras examples would be great in a way that they are simple enough for most people to understand... Links to blogs addressing the same are welcome too.</p>