title: Dropout rate guidance for hidden layers in a convolution neural network
body: <p>I am currently building a convolution neural network to play the game 2048. It has convolution layers and then 6 hidden layers. All of the guidance online mentions a dropout rate of ~50%. I am about to start training but am concerned that 50% dropout on each of the 6 layers is a bit overkill and will lead to under-fitting.            </p>
  
  <p>I would greatly appreciate some guidance on this. What do you guys recommend as a starting point on dropout? I would also love to understand why you recommend what you do.</p>