title: Why do we call the fully connected layers in CNN "the Top Layers"?
body: <p>I've read some papers about Convolutional Neural Networks and found that almost all the papers call the fully connected layers in a normal CNN "the Top Layers".</p>
  
  <p>However, as is shown in the most papers, the typical CNNs have  a top-down structure and the fully connected layers, which are usually followed by a softmax classifier, are put in the bottom of the network. So, why do we call them the "Top layers"? Is this a kind of convention or there is some other considerations I don't know?</p>