title: Why each block in Deep residual network has two convolutional layers instead of one?
body: <p><a href="https://i.stack.imgur.com/TfMe9.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/TfMe9.png" alt="enter image description here"></a></p>
  
  <p>This figure shows a basic block of a residual network. What it has two convolutional layers? What will happen when it has only one convolutional layer?</p>