title: Does resnet have fully connected layers?
body: <p>In my understanding, fully connected layer(fc in short) is used for predicting. </p>
  
  <p>For example, VGG Net used 2 fc layers, which are both 4096 dimension. The last layer for softmax has dimension same with classes num:1000.</p>
  
  <p><a href="https://i.stack.imgur.com/OcMg6.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/OcMg6.png" alt="VGG net"></a></p>
  
  <p>But for resnet, it used global average pooling, and use the pooled result of last convolution layer as the input.</p>
  
  <p><a href="https://i.stack.imgur.com/ElFiI.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/ElFiI.png" alt="resnet"></a></p>
  
  <p>But they still has a fc layer! Does this layer a really fc layer? Or this layer is only to make input into a vector of features which number is classes number? Does this layer has function for prediction result?</p>
  
  <p>In a word, how many fc layers do resnet and VGGnet have? Does VGGnet's 1st 2nd 3rd fc layer has different function?</p>