title: How to choose the number of filters in each Convolutional Layer?
body: <p>When building a convolutional neural network, how do you determine the number of filters used in each convolutional layer. I know that there is no hard rule about the number of filters, but from your experience/ papers you have read, etc. is there an intuition/observation about number of filters used? </p>
  
  <p>For instance (I'm just making this up as example): </p>
  
  <ul>
  <li><p>use more/less filters as the network gets deeper.</p></li>
  <li><p>use larger/smaller filter with large/small kernel size</p></li>
  <li>If the object of interest in the image is large/small, use ...</li>
  </ul>