fixed python2/3 print issue

examples/2_BasicModels/logistic_regression.py

@@ -58,12 +58,12 @@ with tf.Session() as sess:
             avg_cost += c / total_batch
         # Display logs per epoch step
         if (epoch+1) % display_step == 0:
-            print "Epoch:", '%04d' % (epoch+1), "cost=", "{:.9f}".format(avg_cost)
+            print("Epoch:", '%04d' % (epoch+1), "cost=", "{:.9f}".format(avg_cost))
 
-    print "Optimization Finished!"
+    print("Optimization Finished!")
 
     # Test model
     correct_prediction = tf.equal(tf.argmax(pred, 1), tf.argmax(y, 1))
     # Calculate accuracy
     accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))
-    print "Accuracy:", accuracy.eval({x: mnist.test.images, y: mnist.test.labels})
+    print("Accuracy:", accuracy.eval({x: mnist.test.images, y: mnist.test.labels}))