title: Regarding transforming Keras Theano implementation into Keras Tensorflow implemenation
body: <p>Keras application can use either Theano and Tensorflow as backend.
  Are there any difference between these two implementations? I have seen a lot of Keras applications with Theano as backend. But I did not see a lot of Theano-dependent usages in these implementations.</p>
  
  <p>The only item that I can quickly think of is that
  For Theano, the image data set is represented as (<code>batchsize,channel, width, height)</code>
  For Tensorflow, the image data set is represented as <code>(batchsize,width,height,channel)</code></p>
  
  <p>I am asking this question is because, if I see a Keras implementation with Theano as backend, what are the general modifications that I need to make, to transfer them into a one that can be run with Tensorflow as backend.</p>