title: Seek a considerably good performance deep learning architecture to run style transfer algorithm
body: <p>Our boss found the idea of the paper "A Neural Algorithm of Artistic Style" amazing and think it should attract some of his customers. He decided to set up a server provide the service of style transfer for them.</p>
  
  <p>There are several deep learning architectures with implementations of this idea such as TensorFlow, Torch, caffe, etc. If aims to achieve the best performance, which implementation of these architectures runs fastest? If we configure the algorithm with a considerably good CUDA device such as GeForce GTX 1090 or better, is it possible to finish the task of a VGG model in several seconds? If wish to apply the state of art of the idea to the aforementioned deep learning architectures, are they all applicable?</p>