title: How can I enrich a Convolutional Neural Network with meta information?
body: <p>I would very much like to understand how I can enrich a CNN with provided meta information. As I understand, a CNN 'just' looks at the images and classifies it into objects without looking at possibly existing meta-parameters such as time, weather conditions, etc etc. </p>
  
  <p>To be more precise, I am using a keras CNN with tensorflow in the backend. I have the typical Conv2D and MaxPooling Layers and a fully connected model at the end of the pipeline. It works nicely and gives me a good accuracy. However, I do have additional meta information for each image (the manufacturer of the camera with which the image was taken) that is unused so far.</p>
  
  <p>What is a recommended way to incorporate this meta information into the model? I could not yet come out with a good solution by myself. </p>
  
  <p>Thanks for any help!</p>