title: Number of feature maps produced after each convolution layer in CNN's
body: <p>My question is about number of feature maps after each convolution layer. Based on my studies, in each Convolution layer, Based on filters that we want, In the exact number we get feature maps. But in some tutorials I encountered some architectures that doesn't follow this. For example in this example:</p>
  
  <p><a href="https://i.stack.imgur.com/toDTO.png" rel="noreferrer"><img src="https://i.stack.imgur.com/toDTO.png" alt="enter image description here"></a></p>
  
  <p>The output of first convolution layer after pooling is 6 feature maps(Red Line). Using that feature maps in the next Convolution layer, 16 new feature maps produced(Green Line), But how? each of previous layers feature maps should create 1,2,3... new feature maps and we should not get 16 new feature maps in the next layer. How this happened? My assumption is not right? </p>