title: Why would I ever use tf.concat instead of tf.stack?
body: <p>Is there a good reason to use <code>tf.concat</code> instead of <code>tf.stack</code>? They seem very similar. Is it just to guarantee that the resulting tensor will have the same number of dimensions as the input list of tensors?</p>