title: number of layers in convolution neural network
body: <p>I am a beginner in convolution networks. I use digits to implement them and facing with few doubts.</p>
  
  <ol>
  <li>While trying out a basic classification problem of images, how do we decide on the number of layers - how many conv layers/ fully connected layer, etc. </li>
  <li>In digits we have 3 standard papers implemented, for a particular dataset is there any way to find out which architecture to use – or when should we use our own architecture.</li>
  <li>How can the hidden layers be helpful in solving the problems – i.e. what possible decisions can we take by looking at the results in the hidden layer</li>
  </ol>