title: In TensorFlow is there any way to just initialize uninitialised variables?
body: <p>The standard way of initializing variables in TensorFlow is</p>
  
  <pre><code>init = tf.initialize_all_variables()
  sess = tf.Session()
  sess.run(init)
  </code></pre>
  
  <p>After running some learning for a while I create a new set of variables but once I initialize them it resets all my existing variables. At the moment my way around this is to save all the variable I need and then reapply them after the tf.initalize_all_variables call. This works but is a bit ugly and clunky. I cannot find anything like this in the docs...</p>
  
  <p>Does anyone know of any good way to just initialize the uninitialized variables?   </p>