title: How to run Keras.model() for prediction inside a tensorflow session?
body: <p>I am currently having an issue, while executing my model predict of keras inside a tensorflow session.</p>
  
  <pre><code>with tf.Session(graph=graph) as sess:
      sess.run(tf.global_variables_initializer())
      ## want to know how to add model.predict() inside this condition
      predictions = model.predict(#my_model)
      #predictions output is same not appending
  </code></pre>
  
  <p>or any alternative method will be helpful.</p>
  
  <p>Any help would be appreciated.</p>